{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Variational autoencoders\n"
      ],
      "metadata": {
        "id": "4lxIlrrO28C9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Image     #This is used for rendering images in the notebook"
      ],
      "metadata": {
        "id": "It6De_3l3GZa"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Image('/content/B18331_08_14.png', width=600) #This is used for renderin"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "s9bCviij3RIK",
        "outputId": "9624dd88-570f-4ad6-a968-b7d114ac03c1"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 600
            }
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WpvbzSzAUfhJ"
      },
      "outputs": [],
      "source": [
        "import  os\n",
        "import  tensorflow as tf\n",
        "import  numpy as np\n",
        "from    matplotlib import pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dP496voEUfhL"
      },
      "outputs": [],
      "source": [
        "np.random.seed(333)\n",
        "tf.random.set_seed(333)\n",
        "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
        "assert tf.__version__.startswith('2.'), \"TensorFlow Version Below 2.0\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QMotDSTOUfhN",
        "outputId": "fffc129d-5e1e-4271-a4ca-af52e57ce4ff"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n",
            "32768/29515 [=================================] - 0s 0us/step\n",
            "40960/29515 [=========================================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n",
            "26427392/26421880 [==============================] - 0s 0us/step\n",
            "26435584/26421880 [==============================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n",
            "16384/5148 [===============================================================================================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n",
            "4423680/4422102 [==============================] - 0s 0us/step\n",
            "4431872/4422102 [==============================] - 0s 0us/step\n",
            "(60000, 28, 28) (60000,)\n",
            "(10000, 28, 28) (10000,)\n"
          ]
        }
      ],
      "source": [
        "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()\n",
        "x_train, x_test = x_train.astype(np.float32)/255., x_test.astype(np.float32)/255.\n",
        "\n",
        "print(x_train.shape, y_train.shape)\n",
        "print(x_test.shape, y_test.shape)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 129
        },
        "id": "_63x9XPHUfhP",
        "outputId": "e99872d2-ade8-414a-d93f-0137fe97707e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x288 with 10 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "number = 10  # how many digits we will display\n",
        "plt.figure(figsize=(20, 4))\n",
        "for index in range(number):\n",
        "    # display original\n",
        "    ax = plt.subplot(2, number, index + 1)\n",
        "    plt.imshow(x_train[index], cmap='gray')\n",
        "    ax.get_xaxis().set_visible(False)\n",
        "    ax.get_yaxis().set_visible(False)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wq8BCUJjUfhR"
      },
      "outputs": [],
      "source": [
        "image_size = x_train.shape[1]*x_train.shape[2]\n",
        "hidden_dim = 512\n",
        "latent_dim = 10\n",
        "num_epochs = 80\n",
        "batch_size = 100\n",
        "learning_rate = 0.001"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N_kHcZhcUfhS"
      },
      "outputs": [],
      "source": [
        "class VAE(tf.keras.Model):\n",
        "\n",
        "    def __init__(self,dim,**kwargs):\n",
        "        h_dim = dim[0]\n",
        "        z_dim = dim[1]\n",
        "        super(VAE, self).__init__(**kwargs)\n",
        "\n",
        "        self.fc1 = tf.keras.layers.Dense(h_dim)\n",
        "        self.fc2 = tf.keras.layers.Dense(z_dim)\n",
        "        self.fc3 = tf.keras.layers.Dense(z_dim)\n",
        "\n",
        "        self.fc4 = tf.keras.layers.Dense(h_dim)\n",
        "        self.fc5 = tf.keras.layers.Dense(image_size)\n",
        "\n",
        "    def encode(self, x):\n",
        "        h = tf.nn.relu(self.fc1(x))\n",
        "        return self.fc2(h), self.fc3(h)\n",
        "\n",
        "    def reparameterize(self, mu, log_var):\n",
        "        std = tf.exp(log_var * 0.5)\n",
        "        eps = tf.random.normal(std.shape)\n",
        "\n",
        "        return mu + eps * std\n",
        "\n",
        "    def decode_logits(self, z):\n",
        "        h = tf.nn.relu(self.fc4(z))\n",
        "        return self.fc5(h)\n",
        "\n",
        "    def decode(self, z):\n",
        "        return tf.nn.sigmoid(self.decode_logits(z))\n",
        "\n",
        "    def call(self, inputs, training=None, mask=None):\n",
        "        mu, log_var = self.encode(inputs)\n",
        "        z = self.reparameterize(mu, log_var)\n",
        "        x_reconstructed_logits = self.decode_logits(z)\n",
        "\n",
        "        return x_reconstructed_logits, mu, log_var"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gQjSqDKjUfhU",
        "outputId": "4154412a-ca8e-4470-fa40-426bb88ed20f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"vae\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense (Dense)               multiple                  401920    \n",
            "                                                                 \n",
            " dense_1 (Dense)             multiple                  5130      \n",
            "                                                                 \n",
            " dense_2 (Dense)             multiple                  5130      \n",
            "                                                                 \n",
            " dense_3 (Dense)             multiple                  5632      \n",
            "                                                                 \n",
            " dense_4 (Dense)             multiple                  402192    \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 820,004\n",
            "Trainable params: 820,004\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "model = VAE([hidden_dim, latent_dim])\n",
        "model.build(input_shape=(4, image_size))\n",
        "model.summary()\n",
        "optimizer = tf.keras.optimizers.Adam(learning_rate)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U9JQTFg2UfhV",
        "outputId": "6cc243ed-5bde-4a43-9c2a-1748bf87ae11"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch[1/80], Step [50/600], Reconst Loss: 294.8600, KL Div: 14.0198\n",
            "Epoch[1/80], Step [100/600], Reconst Loss: 291.6082, KL Div: 14.1258\n",
            "Epoch[1/80], Step [150/600], Reconst Loss: 252.8786, KL Div: 14.9382\n",
            "Epoch[1/80], Step [200/600], Reconst Loss: 255.8645, KL Div: 12.9271\n",
            "Epoch[1/80], Step [250/600], Reconst Loss: 254.9722, KL Div: 14.3401\n",
            "Epoch[1/80], Step [300/600], Reconst Loss: 258.3221, KL Div: 14.7604\n",
            "Epoch[1/80], Step [350/600], Reconst Loss: 243.8293, KL Div: 15.0483\n",
            "Epoch[1/80], Step [400/600], Reconst Loss: 240.9897, KL Div: 13.8302\n",
            "Epoch[1/80], Step [450/600], Reconst Loss: 240.5513, KL Div: 13.5787\n",
            "Epoch[1/80], Step [500/600], Reconst Loss: 243.6916, KL Div: 13.8394\n",
            "Epoch[1/80], Step [550/600], Reconst Loss: 240.5745, KL Div: 14.1422\n",
            "Epoch[1/80], Step [600/600], Reconst Loss: 223.6359, KL Div: 15.4604\n",
            "Epoch[2/80], Step [50/600], Reconst Loss: 244.9550, KL Div: 14.8179\n",
            "Epoch[2/80], Step [100/600], Reconst Loss: 229.5184, KL Div: 14.3811\n",
            "Epoch[2/80], Step [150/600], Reconst Loss: 228.9986, KL Div: 15.2806\n",
            "Epoch[2/80], Step [200/600], Reconst Loss: 233.7926, KL Div: 15.0257\n",
            "Epoch[2/80], Step [250/600], Reconst Loss: 251.7884, KL Div: 14.9191\n",
            "Epoch[2/80], Step [300/600], Reconst Loss: 234.1693, KL Div: 14.0050\n",
            "Epoch[2/80], Step [350/600], Reconst Loss: 225.9477, KL Div: 14.9218\n",
            "Epoch[2/80], Step [400/600], Reconst Loss: 238.8315, KL Div: 14.8847\n",
            "Epoch[2/80], Step [450/600], Reconst Loss: 243.4105, KL Div: 15.7599\n",
            "Epoch[2/80], Step [500/600], Reconst Loss: 225.0771, KL Div: 16.0321\n",
            "Epoch[2/80], Step [550/600], Reconst Loss: 235.9043, KL Div: 15.5791\n",
            "Epoch[2/80], Step [600/600], Reconst Loss: 238.5088, KL Div: 15.0787\n",
            "Epoch[3/80], Step [50/600], Reconst Loss: 223.2142, KL Div: 15.0104\n",
            "Epoch[3/80], Step [100/600], Reconst Loss: 236.1346, KL Div: 15.2710\n",
            "Epoch[3/80], Step [150/600], Reconst Loss: 231.7388, KL Div: 14.3897\n",
            "Epoch[3/80], Step [200/600], Reconst Loss: 228.5882, KL Div: 14.7468\n",
            "Epoch[3/80], Step [250/600], Reconst Loss: 236.2813, KL Div: 14.8810\n",
            "Epoch[3/80], Step [300/600], Reconst Loss: 227.7048, KL Div: 14.7532\n",
            "Epoch[3/80], Step [350/600], Reconst Loss: 235.9079, KL Div: 15.7504\n",
            "Epoch[3/80], Step [400/600], Reconst Loss: 240.3039, KL Div: 14.9777\n",
            "Epoch[3/80], Step [450/600], Reconst Loss: 219.7249, KL Div: 14.8575\n",
            "Epoch[3/80], Step [500/600], Reconst Loss: 240.0207, KL Div: 15.6648\n",
            "Epoch[3/80], Step [550/600], Reconst Loss: 250.6466, KL Div: 15.2735\n",
            "Epoch[3/80], Step [600/600], Reconst Loss: 223.8757, KL Div: 15.4569\n",
            "Epoch[4/80], Step [50/600], Reconst Loss: 223.2298, KL Div: 15.6561\n",
            "Epoch[4/80], Step [100/600], Reconst Loss: 221.3932, KL Div: 16.0334\n",
            "Epoch[4/80], Step [150/600], Reconst Loss: 222.3416, KL Div: 16.2337\n",
            "Epoch[4/80], Step [200/600], Reconst Loss: 229.8651, KL Div: 14.8093\n",
            "Epoch[4/80], Step [250/600], Reconst Loss: 236.4609, KL Div: 15.4227\n",
            "Epoch[4/80], Step [300/600], Reconst Loss: 234.1396, KL Div: 15.8197\n",
            "Epoch[4/80], Step [350/600], Reconst Loss: 224.9334, KL Div: 14.5327\n",
            "Epoch[4/80], Step [400/600], Reconst Loss: 215.8301, KL Div: 15.7431\n",
            "Epoch[4/80], Step [450/600], Reconst Loss: 222.4882, KL Div: 15.2283\n",
            "Epoch[4/80], Step [500/600], Reconst Loss: 238.9019, KL Div: 15.2675\n",
            "Epoch[4/80], Step [550/600], Reconst Loss: 229.3784, KL Div: 15.3536\n",
            "Epoch[4/80], Step [600/600], Reconst Loss: 240.6019, KL Div: 15.9688\n",
            "Epoch[5/80], Step [50/600], Reconst Loss: 232.2709, KL Div: 16.2149\n",
            "Epoch[5/80], Step [100/600], Reconst Loss: 225.5459, KL Div: 15.7599\n",
            "Epoch[5/80], Step [150/600], Reconst Loss: 239.9346, KL Div: 15.3352\n",
            "Epoch[5/80], Step [200/600], Reconst Loss: 238.8393, KL Div: 15.0892\n",
            "Epoch[5/80], Step [250/600], Reconst Loss: 228.1192, KL Div: 15.8055\n",
            "Epoch[5/80], Step [300/600], Reconst Loss: 228.2681, KL Div: 15.1883\n",
            "Epoch[5/80], Step [350/600], Reconst Loss: 225.9370, KL Div: 16.3073\n",
            "Epoch[5/80], Step [400/600], Reconst Loss: 235.0264, KL Div: 15.3740\n",
            "Epoch[5/80], Step [450/600], Reconst Loss: 224.6711, KL Div: 15.4817\n",
            "Epoch[5/80], Step [500/600], Reconst Loss: 229.4884, KL Div: 14.9008\n",
            "Epoch[5/80], Step [550/600], Reconst Loss: 219.7183, KL Div: 14.6584\n",
            "Epoch[5/80], Step [600/600], Reconst Loss: 231.9395, KL Div: 15.4053\n",
            "Epoch[6/80], Step [50/600], Reconst Loss: 230.0092, KL Div: 16.0082\n",
            "Epoch[6/80], Step [100/600], Reconst Loss: 237.4578, KL Div: 15.0445\n",
            "Epoch[6/80], Step [150/600], Reconst Loss: 231.6568, KL Div: 15.5836\n",
            "Epoch[6/80], Step [200/600], Reconst Loss: 229.6350, KL Div: 15.2858\n",
            "Epoch[6/80], Step [250/600], Reconst Loss: 220.5411, KL Div: 15.0133\n",
            "Epoch[6/80], Step [300/600], Reconst Loss: 227.9880, KL Div: 15.4595\n",
            "Epoch[6/80], Step [350/600], Reconst Loss: 233.8937, KL Div: 15.3488\n",
            "Epoch[6/80], Step [400/600], Reconst Loss: 226.1545, KL Div: 15.9863\n",
            "Epoch[6/80], Step [450/600], Reconst Loss: 234.4183, KL Div: 15.5309\n",
            "Epoch[6/80], Step [500/600], Reconst Loss: 236.3326, KL Div: 15.6446\n",
            "Epoch[6/80], Step [550/600], Reconst Loss: 227.1594, KL Div: 14.8682\n",
            "Epoch[6/80], Step [600/600], Reconst Loss: 221.3998, KL Div: 15.4112\n",
            "Epoch[7/80], Step [50/600], Reconst Loss: 237.0543, KL Div: 15.7960\n",
            "Epoch[7/80], Step [100/600], Reconst Loss: 238.7986, KL Div: 16.0204\n",
            "Epoch[7/80], Step [150/600], Reconst Loss: 243.7822, KL Div: 15.7072\n",
            "Epoch[7/80], Step [200/600], Reconst Loss: 223.1966, KL Div: 14.9587\n",
            "Epoch[7/80], Step [250/600], Reconst Loss: 226.5558, KL Div: 15.6508\n",
            "Epoch[7/80], Step [300/600], Reconst Loss: 216.0632, KL Div: 15.2083\n",
            "Epoch[7/80], Step [350/600], Reconst Loss: 218.7565, KL Div: 15.3479\n",
            "Epoch[7/80], Step [400/600], Reconst Loss: 233.8230, KL Div: 14.9858\n",
            "Epoch[7/80], Step [450/600], Reconst Loss: 227.2191, KL Div: 15.0254\n",
            "Epoch[7/80], Step [500/600], Reconst Loss: 236.3223, KL Div: 14.2453\n",
            "Epoch[7/80], Step [550/600], Reconst Loss: 210.2603, KL Div: 16.3563\n",
            "Epoch[7/80], Step [600/600], Reconst Loss: 230.8183, KL Div: 15.3681\n",
            "Epoch[8/80], Step [50/600], Reconst Loss: 229.0455, KL Div: 15.6768\n",
            "Epoch[8/80], Step [100/600], Reconst Loss: 229.6316, KL Div: 15.4812\n",
            "Epoch[8/80], Step [150/600], Reconst Loss: 232.9267, KL Div: 14.6349\n",
            "Epoch[8/80], Step [200/600], Reconst Loss: 226.7438, KL Div: 15.6754\n",
            "Epoch[8/80], Step [250/600], Reconst Loss: 229.4970, KL Div: 15.3835\n",
            "Epoch[8/80], Step [300/600], Reconst Loss: 228.7801, KL Div: 15.6876\n",
            "Epoch[8/80], Step [350/600], Reconst Loss: 233.3676, KL Div: 15.9695\n",
            "Epoch[8/80], Step [400/600], Reconst Loss: 231.8497, KL Div: 14.8404\n",
            "Epoch[8/80], Step [450/600], Reconst Loss: 231.3510, KL Div: 15.2341\n",
            "Epoch[8/80], Step [500/600], Reconst Loss: 227.6984, KL Div: 15.6161\n",
            "Epoch[8/80], Step [550/600], Reconst Loss: 234.3816, KL Div: 15.4567\n",
            "Epoch[8/80], Step [600/600], Reconst Loss: 238.5454, KL Div: 14.9071\n",
            "Epoch[9/80], Step [50/600], Reconst Loss: 215.0733, KL Div: 15.5725\n",
            "Epoch[9/80], Step [100/600], Reconst Loss: 220.9015, KL Div: 14.9755\n",
            "Epoch[9/80], Step [150/600], Reconst Loss: 226.4677, KL Div: 15.7207\n",
            "Epoch[9/80], Step [200/600], Reconst Loss: 237.5673, KL Div: 15.5424\n",
            "Epoch[9/80], Step [250/600], Reconst Loss: 231.5036, KL Div: 15.1709\n",
            "Epoch[9/80], Step [300/600], Reconst Loss: 233.7470, KL Div: 14.9310\n",
            "Epoch[9/80], Step [350/600], Reconst Loss: 220.0228, KL Div: 15.8261\n",
            "Epoch[9/80], Step [400/600], Reconst Loss: 238.9144, KL Div: 15.2270\n",
            "Epoch[9/80], Step [450/600], Reconst Loss: 227.9646, KL Div: 15.5391\n",
            "Epoch[9/80], Step [500/600], Reconst Loss: 238.7975, KL Div: 15.3658\n",
            "Epoch[9/80], Step [550/600], Reconst Loss: 234.8598, KL Div: 15.4725\n",
            "Epoch[9/80], Step [600/600], Reconst Loss: 233.8470, KL Div: 13.9921\n",
            "Epoch[10/80], Step [50/600], Reconst Loss: 232.0878, KL Div: 15.4632\n",
            "Epoch[10/80], Step [100/600], Reconst Loss: 231.5160, KL Div: 15.3953\n",
            "Epoch[10/80], Step [150/600], Reconst Loss: 232.0664, KL Div: 15.2697\n",
            "Epoch[10/80], Step [200/600], Reconst Loss: 217.2348, KL Div: 16.1580\n",
            "Epoch[10/80], Step [250/600], Reconst Loss: 237.3663, KL Div: 14.7982\n",
            "Epoch[10/80], Step [300/600], Reconst Loss: 216.5564, KL Div: 14.5482\n",
            "Epoch[10/80], Step [350/600], Reconst Loss: 233.3590, KL Div: 15.1892\n",
            "Epoch[10/80], Step [400/600], Reconst Loss: 225.8306, KL Div: 15.9969\n",
            "Epoch[10/80], Step [450/600], Reconst Loss: 226.3994, KL Div: 15.9492\n",
            "Epoch[10/80], Step [500/600], Reconst Loss: 233.2743, KL Div: 15.0075\n",
            "Epoch[10/80], Step [550/600], Reconst Loss: 233.9227, KL Div: 15.9594\n",
            "Epoch[10/80], Step [600/600], Reconst Loss: 223.6896, KL Div: 16.1014\n",
            "Epoch[11/80], Step [50/600], Reconst Loss: 230.5365, KL Div: 15.4140\n",
            "Epoch[11/80], Step [100/600], Reconst Loss: 228.3769, KL Div: 14.7287\n",
            "Epoch[11/80], Step [150/600], Reconst Loss: 230.0803, KL Div: 15.3318\n",
            "Epoch[11/80], Step [200/600], Reconst Loss: 227.1476, KL Div: 14.7707\n",
            "Epoch[11/80], Step [250/600], Reconst Loss: 231.6875, KL Div: 15.2562\n",
            "Epoch[11/80], Step [300/600], Reconst Loss: 225.7991, KL Div: 14.2164\n",
            "Epoch[11/80], Step [350/600], Reconst Loss: 227.4155, KL Div: 15.2395\n",
            "Epoch[11/80], Step [400/600], Reconst Loss: 222.4907, KL Div: 14.6626\n",
            "Epoch[11/80], Step [450/600], Reconst Loss: 227.4308, KL Div: 15.6307\n",
            "Epoch[11/80], Step [500/600], Reconst Loss: 233.5063, KL Div: 15.2575\n",
            "Epoch[11/80], Step [550/600], Reconst Loss: 237.0602, KL Div: 14.6973\n",
            "Epoch[11/80], Step [600/600], Reconst Loss: 219.7925, KL Div: 15.5169\n",
            "Epoch[12/80], Step [50/600], Reconst Loss: 239.5189, KL Div: 15.7775\n",
            "Epoch[12/80], Step [100/600], Reconst Loss: 219.2535, KL Div: 15.1159\n",
            "Epoch[12/80], Step [150/600], Reconst Loss: 228.6281, KL Div: 15.5767\n",
            "Epoch[12/80], Step [200/600], Reconst Loss: 241.2560, KL Div: 15.7429\n",
            "Epoch[12/80], Step [250/600], Reconst Loss: 218.5674, KL Div: 15.5745\n",
            "Epoch[12/80], Step [300/600], Reconst Loss: 227.3188, KL Div: 15.0358\n",
            "Epoch[12/80], Step [350/600], Reconst Loss: 225.2733, KL Div: 15.0445\n",
            "Epoch[12/80], Step [400/600], Reconst Loss: 219.4668, KL Div: 16.0129\n",
            "Epoch[12/80], Step [450/600], Reconst Loss: 211.7077, KL Div: 15.4800\n",
            "Epoch[12/80], Step [500/600], Reconst Loss: 234.3014, KL Div: 14.7488\n",
            "Epoch[12/80], Step [550/600], Reconst Loss: 222.3763, KL Div: 15.5150\n",
            "Epoch[12/80], Step [600/600], Reconst Loss: 239.4246, KL Div: 15.8179\n",
            "Epoch[13/80], Step [50/600], Reconst Loss: 209.9733, KL Div: 15.2314\n",
            "Epoch[13/80], Step [100/600], Reconst Loss: 224.0666, KL Div: 15.5633\n",
            "Epoch[13/80], Step [150/600], Reconst Loss: 221.1509, KL Div: 15.1363\n",
            "Epoch[13/80], Step [200/600], Reconst Loss: 230.0517, KL Div: 16.2212\n",
            "Epoch[13/80], Step [250/600], Reconst Loss: 229.8995, KL Div: 15.3794\n",
            "Epoch[13/80], Step [300/600], Reconst Loss: 230.7496, KL Div: 16.4993\n",
            "Epoch[13/80], Step [350/600], Reconst Loss: 230.9738, KL Div: 15.0195\n",
            "Epoch[13/80], Step [400/600], Reconst Loss: 221.9710, KL Div: 15.1461\n",
            "Epoch[13/80], Step [450/600], Reconst Loss: 223.9511, KL Div: 15.7899\n",
            "Epoch[13/80], Step [500/600], Reconst Loss: 229.9830, KL Div: 14.9486\n",
            "Epoch[13/80], Step [550/600], Reconst Loss: 217.3676, KL Div: 15.0267\n",
            "Epoch[13/80], Step [600/600], Reconst Loss: 227.0056, KL Div: 15.6826\n",
            "Epoch[14/80], Step [50/600], Reconst Loss: 227.1012, KL Div: 15.4737\n",
            "Epoch[14/80], Step [100/600], Reconst Loss: 227.5998, KL Div: 15.4867\n",
            "Epoch[14/80], Step [150/600], Reconst Loss: 233.9961, KL Div: 15.7445\n",
            "Epoch[14/80], Step [200/600], Reconst Loss: 243.0888, KL Div: 15.6057\n",
            "Epoch[14/80], Step [250/600], Reconst Loss: 226.1916, KL Div: 16.1407\n",
            "Epoch[14/80], Step [300/600], Reconst Loss: 225.5748, KL Div: 15.7993\n",
            "Epoch[14/80], Step [350/600], Reconst Loss: 235.8152, KL Div: 15.9943\n",
            "Epoch[14/80], Step [400/600], Reconst Loss: 217.1412, KL Div: 15.1411\n",
            "Epoch[14/80], Step [450/600], Reconst Loss: 222.9686, KL Div: 14.9334\n",
            "Epoch[14/80], Step [500/600], Reconst Loss: 235.3942, KL Div: 16.2102\n",
            "Epoch[14/80], Step [550/600], Reconst Loss: 214.0587, KL Div: 16.1582\n",
            "Epoch[14/80], Step [600/600], Reconst Loss: 225.9276, KL Div: 16.4956\n",
            "Epoch[15/80], Step [50/600], Reconst Loss: 228.8453, KL Div: 15.6078\n",
            "Epoch[15/80], Step [100/600], Reconst Loss: 218.8938, KL Div: 15.7254\n",
            "Epoch[15/80], Step [150/600], Reconst Loss: 225.6165, KL Div: 14.6703\n",
            "Epoch[15/80], Step [200/600], Reconst Loss: 233.1663, KL Div: 15.0629\n",
            "Epoch[15/80], Step [250/600], Reconst Loss: 222.6866, KL Div: 15.3408\n",
            "Epoch[15/80], Step [300/600], Reconst Loss: 226.5536, KL Div: 15.7063\n",
            "Epoch[15/80], Step [350/600], Reconst Loss: 228.6618, KL Div: 15.1696\n",
            "Epoch[15/80], Step [400/600], Reconst Loss: 224.3166, KL Div: 15.6444\n",
            "Epoch[15/80], Step [450/600], Reconst Loss: 223.7173, KL Div: 16.1455\n",
            "Epoch[15/80], Step [500/600], Reconst Loss: 219.8331, KL Div: 15.2975\n",
            "Epoch[15/80], Step [550/600], Reconst Loss: 230.2493, KL Div: 15.4902\n",
            "Epoch[15/80], Step [600/600], Reconst Loss: 228.4504, KL Div: 15.5437\n",
            "Epoch[16/80], Step [50/600], Reconst Loss: 226.2093, KL Div: 14.9021\n",
            "Epoch[16/80], Step [100/600], Reconst Loss: 224.8430, KL Div: 15.6492\n",
            "Epoch[16/80], Step [150/600], Reconst Loss: 216.1245, KL Div: 14.7098\n",
            "Epoch[16/80], Step [200/600], Reconst Loss: 217.4832, KL Div: 14.8463\n",
            "Epoch[16/80], Step [250/600], Reconst Loss: 220.2531, KL Div: 15.6886\n",
            "Epoch[16/80], Step [300/600], Reconst Loss: 232.7900, KL Div: 14.2349\n",
            "Epoch[16/80], Step [350/600], Reconst Loss: 218.7628, KL Div: 14.6432\n",
            "Epoch[16/80], Step [400/600], Reconst Loss: 233.1511, KL Div: 15.4566\n",
            "Epoch[16/80], Step [450/600], Reconst Loss: 232.2431, KL Div: 16.6830\n",
            "Epoch[16/80], Step [500/600], Reconst Loss: 231.4895, KL Div: 15.1950\n",
            "Epoch[16/80], Step [550/600], Reconst Loss: 229.4232, KL Div: 15.6431\n",
            "Epoch[16/80], Step [600/600], Reconst Loss: 224.7949, KL Div: 15.1613\n",
            "Epoch[17/80], Step [50/600], Reconst Loss: 229.0662, KL Div: 16.1786\n",
            "Epoch[17/80], Step [100/600], Reconst Loss: 216.1097, KL Div: 14.6503\n",
            "Epoch[17/80], Step [150/600], Reconst Loss: 235.1724, KL Div: 15.5755\n",
            "Epoch[17/80], Step [200/600], Reconst Loss: 223.1603, KL Div: 14.4044\n",
            "Epoch[17/80], Step [250/600], Reconst Loss: 224.4314, KL Div: 15.1489\n",
            "Epoch[17/80], Step [300/600], Reconst Loss: 232.9044, KL Div: 15.2262\n",
            "Epoch[17/80], Step [350/600], Reconst Loss: 224.9382, KL Div: 15.3041\n",
            "Epoch[17/80], Step [400/600], Reconst Loss: 230.3730, KL Div: 15.3825\n",
            "Epoch[17/80], Step [450/600], Reconst Loss: 238.0214, KL Div: 16.1759\n",
            "Epoch[17/80], Step [500/600], Reconst Loss: 236.9591, KL Div: 14.9374\n",
            "Epoch[17/80], Step [550/600], Reconst Loss: 228.4282, KL Div: 15.2157\n",
            "Epoch[17/80], Step [600/600], Reconst Loss: 224.5050, KL Div: 16.0110\n",
            "Epoch[18/80], Step [50/600], Reconst Loss: 222.4824, KL Div: 15.2230\n",
            "Epoch[18/80], Step [100/600], Reconst Loss: 230.1035, KL Div: 16.0454\n",
            "Epoch[18/80], Step [150/600], Reconst Loss: 225.2959, KL Div: 14.8938\n",
            "Epoch[18/80], Step [200/600], Reconst Loss: 221.7648, KL Div: 14.8674\n",
            "Epoch[18/80], Step [250/600], Reconst Loss: 219.4775, KL Div: 15.2624\n",
            "Epoch[18/80], Step [300/600], Reconst Loss: 225.9171, KL Div: 15.0183\n",
            "Epoch[18/80], Step [350/600], Reconst Loss: 229.6243, KL Div: 15.2310\n",
            "Epoch[18/80], Step [400/600], Reconst Loss: 223.4841, KL Div: 15.5723\n",
            "Epoch[18/80], Step [450/600], Reconst Loss: 221.6507, KL Div: 16.0857\n",
            "Epoch[18/80], Step [500/600], Reconst Loss: 228.5170, KL Div: 16.0261\n",
            "Epoch[18/80], Step [550/600], Reconst Loss: 244.2236, KL Div: 16.2733\n",
            "Epoch[18/80], Step [600/600], Reconst Loss: 226.7863, KL Div: 15.7082\n",
            "Epoch[19/80], Step [50/600], Reconst Loss: 226.3596, KL Div: 15.0620\n",
            "Epoch[19/80], Step [100/600], Reconst Loss: 227.2034, KL Div: 16.1913\n",
            "Epoch[19/80], Step [150/600], Reconst Loss: 209.8235, KL Div: 14.9277\n",
            "Epoch[19/80], Step [200/600], Reconst Loss: 223.4049, KL Div: 14.1650\n",
            "Epoch[19/80], Step [250/600], Reconst Loss: 224.2188, KL Div: 15.1699\n",
            "Epoch[19/80], Step [300/600], Reconst Loss: 235.1694, KL Div: 15.1511\n",
            "Epoch[19/80], Step [350/600], Reconst Loss: 212.8909, KL Div: 15.3191\n",
            "Epoch[19/80], Step [400/600], Reconst Loss: 231.8370, KL Div: 16.2804\n",
            "Epoch[19/80], Step [450/600], Reconst Loss: 223.9094, KL Div: 15.2748\n",
            "Epoch[19/80], Step [500/600], Reconst Loss: 227.0778, KL Div: 15.6690\n",
            "Epoch[19/80], Step [550/600], Reconst Loss: 236.3214, KL Div: 15.3627\n",
            "Epoch[19/80], Step [600/600], Reconst Loss: 233.6020, KL Div: 15.8459\n",
            "Epoch[20/80], Step [50/600], Reconst Loss: 230.8644, KL Div: 15.5758\n",
            "Epoch[20/80], Step [100/600], Reconst Loss: 217.6046, KL Div: 15.2800\n",
            "Epoch[20/80], Step [150/600], Reconst Loss: 221.7643, KL Div: 15.7042\n",
            "Epoch[20/80], Step [200/600], Reconst Loss: 239.1134, KL Div: 14.8558\n",
            "Epoch[20/80], Step [250/600], Reconst Loss: 228.1934, KL Div: 15.8470\n",
            "Epoch[20/80], Step [300/600], Reconst Loss: 216.5209, KL Div: 15.4404\n",
            "Epoch[20/80], Step [350/600], Reconst Loss: 217.8211, KL Div: 15.3520\n",
            "Epoch[20/80], Step [400/600], Reconst Loss: 231.0089, KL Div: 15.0183\n",
            "Epoch[20/80], Step [450/600], Reconst Loss: 227.5363, KL Div: 15.0139\n",
            "Epoch[20/80], Step [500/600], Reconst Loss: 227.6833, KL Div: 14.5743\n",
            "Epoch[20/80], Step [550/600], Reconst Loss: 222.6775, KL Div: 15.2453\n",
            "Epoch[20/80], Step [600/600], Reconst Loss: 225.2137, KL Div: 15.9904\n",
            "Epoch[21/80], Step [50/600], Reconst Loss: 217.1603, KL Div: 15.0863\n",
            "Epoch[21/80], Step [100/600], Reconst Loss: 222.6158, KL Div: 16.5569\n",
            "Epoch[21/80], Step [150/600], Reconst Loss: 226.9084, KL Div: 15.5727\n",
            "Epoch[21/80], Step [200/600], Reconst Loss: 215.4672, KL Div: 15.1719\n",
            "Epoch[21/80], Step [250/600], Reconst Loss: 217.3943, KL Div: 15.4257\n",
            "Epoch[21/80], Step [300/600], Reconst Loss: 228.4214, KL Div: 14.6048\n",
            "Epoch[21/80], Step [350/600], Reconst Loss: 228.1930, KL Div: 15.9998\n",
            "Epoch[21/80], Step [400/600], Reconst Loss: 227.0099, KL Div: 15.1108\n",
            "Epoch[21/80], Step [450/600], Reconst Loss: 215.4486, KL Div: 15.5242\n",
            "Epoch[21/80], Step [500/600], Reconst Loss: 223.2935, KL Div: 15.0130\n",
            "Epoch[21/80], Step [550/600], Reconst Loss: 238.6706, KL Div: 14.7266\n",
            "Epoch[21/80], Step [600/600], Reconst Loss: 230.1668, KL Div: 15.5336\n",
            "Epoch[22/80], Step [50/600], Reconst Loss: 226.4045, KL Div: 15.3247\n",
            "Epoch[22/80], Step [100/600], Reconst Loss: 222.6143, KL Div: 15.3345\n",
            "Epoch[22/80], Step [150/600], Reconst Loss: 224.9511, KL Div: 15.1947\n",
            "Epoch[22/80], Step [200/600], Reconst Loss: 226.0375, KL Div: 15.8143\n",
            "Epoch[22/80], Step [250/600], Reconst Loss: 232.9863, KL Div: 16.6305\n",
            "Epoch[22/80], Step [300/600], Reconst Loss: 227.9126, KL Div: 15.3356\n",
            "Epoch[22/80], Step [350/600], Reconst Loss: 218.1719, KL Div: 15.6669\n",
            "Epoch[22/80], Step [400/600], Reconst Loss: 229.1738, KL Div: 15.4380\n",
            "Epoch[22/80], Step [450/600], Reconst Loss: 214.2314, KL Div: 15.6336\n",
            "Epoch[22/80], Step [500/600], Reconst Loss: 237.5101, KL Div: 17.0322\n",
            "Epoch[22/80], Step [550/600], Reconst Loss: 218.1212, KL Div: 15.4601\n",
            "Epoch[22/80], Step [600/600], Reconst Loss: 212.6562, KL Div: 15.4880\n",
            "Epoch[23/80], Step [50/600], Reconst Loss: 222.7211, KL Div: 15.1186\n",
            "Epoch[23/80], Step [100/600], Reconst Loss: 228.6754, KL Div: 15.1358\n",
            "Epoch[23/80], Step [150/600], Reconst Loss: 222.3940, KL Div: 16.3185\n",
            "Epoch[23/80], Step [200/600], Reconst Loss: 247.6458, KL Div: 15.0346\n",
            "Epoch[23/80], Step [250/600], Reconst Loss: 224.3136, KL Div: 15.4769\n",
            "Epoch[23/80], Step [300/600], Reconst Loss: 233.6804, KL Div: 14.9539\n",
            "Epoch[23/80], Step [350/600], Reconst Loss: 224.0165, KL Div: 14.8489\n",
            "Epoch[23/80], Step [400/600], Reconst Loss: 227.6918, KL Div: 15.3673\n",
            "Epoch[23/80], Step [450/600], Reconst Loss: 215.4077, KL Div: 15.5116\n",
            "Epoch[23/80], Step [500/600], Reconst Loss: 212.3042, KL Div: 16.4120\n",
            "Epoch[23/80], Step [550/600], Reconst Loss: 228.0510, KL Div: 15.5261\n",
            "Epoch[23/80], Step [600/600], Reconst Loss: 230.4778, KL Div: 15.1199\n",
            "Epoch[24/80], Step [50/600], Reconst Loss: 214.2783, KL Div: 16.0364\n",
            "Epoch[24/80], Step [100/600], Reconst Loss: 226.6270, KL Div: 15.6922\n",
            "Epoch[24/80], Step [150/600], Reconst Loss: 223.8219, KL Div: 15.5205\n",
            "Epoch[24/80], Step [200/600], Reconst Loss: 222.8472, KL Div: 15.6699\n",
            "Epoch[24/80], Step [250/600], Reconst Loss: 230.1225, KL Div: 15.2399\n",
            "Epoch[24/80], Step [300/600], Reconst Loss: 230.4395, KL Div: 15.2594\n",
            "Epoch[24/80], Step [350/600], Reconst Loss: 230.0645, KL Div: 14.6709\n",
            "Epoch[24/80], Step [400/600], Reconst Loss: 215.3448, KL Div: 15.1591\n",
            "Epoch[24/80], Step [450/600], Reconst Loss: 225.1236, KL Div: 15.8216\n",
            "Epoch[24/80], Step [500/600], Reconst Loss: 231.9325, KL Div: 14.6353\n",
            "Epoch[24/80], Step [550/600], Reconst Loss: 220.3624, KL Div: 15.1051\n",
            "Epoch[24/80], Step [600/600], Reconst Loss: 224.9209, KL Div: 14.9920\n",
            "Epoch[25/80], Step [50/600], Reconst Loss: 219.8399, KL Div: 15.0334\n",
            "Epoch[25/80], Step [100/600], Reconst Loss: 222.2658, KL Div: 15.7531\n",
            "Epoch[25/80], Step [150/600], Reconst Loss: 224.9768, KL Div: 14.8549\n",
            "Epoch[25/80], Step [200/600], Reconst Loss: 233.1064, KL Div: 15.6764\n",
            "Epoch[25/80], Step [250/600], Reconst Loss: 241.4421, KL Div: 15.4678\n",
            "Epoch[25/80], Step [300/600], Reconst Loss: 232.4708, KL Div: 15.4269\n",
            "Epoch[25/80], Step [350/600], Reconst Loss: 229.9237, KL Div: 14.7571\n",
            "Epoch[25/80], Step [400/600], Reconst Loss: 212.0400, KL Div: 15.6361\n",
            "Epoch[25/80], Step [450/600], Reconst Loss: 229.8693, KL Div: 14.7877\n",
            "Epoch[25/80], Step [500/600], Reconst Loss: 223.6529, KL Div: 15.7748\n",
            "Epoch[25/80], Step [550/600], Reconst Loss: 224.6233, KL Div: 15.3134\n",
            "Epoch[25/80], Step [600/600], Reconst Loss: 229.6926, KL Div: 15.7158\n",
            "Epoch[26/80], Step [50/600], Reconst Loss: 223.2308, KL Div: 15.3940\n",
            "Epoch[26/80], Step [100/600], Reconst Loss: 228.2936, KL Div: 15.1402\n",
            "Epoch[26/80], Step [150/600], Reconst Loss: 228.6821, KL Div: 15.6536\n",
            "Epoch[26/80], Step [200/600], Reconst Loss: 254.2712, KL Div: 14.7594\n",
            "Epoch[26/80], Step [250/600], Reconst Loss: 228.4538, KL Div: 15.0769\n",
            "Epoch[26/80], Step [300/600], Reconst Loss: 239.8125, KL Div: 16.0721\n",
            "Epoch[26/80], Step [350/600], Reconst Loss: 229.6606, KL Div: 14.9179\n",
            "Epoch[26/80], Step [400/600], Reconst Loss: 221.2473, KL Div: 15.5785\n",
            "Epoch[26/80], Step [450/600], Reconst Loss: 218.6579, KL Div: 15.2685\n",
            "Epoch[26/80], Step [500/600], Reconst Loss: 222.8823, KL Div: 15.5437\n",
            "Epoch[26/80], Step [550/600], Reconst Loss: 223.8915, KL Div: 15.7131\n",
            "Epoch[26/80], Step [600/600], Reconst Loss: 239.7965, KL Div: 15.5530\n",
            "Epoch[27/80], Step [50/600], Reconst Loss: 242.2136, KL Div: 15.9220\n",
            "Epoch[27/80], Step [100/600], Reconst Loss: 228.1016, KL Div: 15.5446\n",
            "Epoch[27/80], Step [150/600], Reconst Loss: 231.2702, KL Div: 15.9390\n",
            "Epoch[27/80], Step [200/600], Reconst Loss: 230.9586, KL Div: 15.1756\n",
            "Epoch[27/80], Step [250/600], Reconst Loss: 220.1325, KL Div: 15.3444\n",
            "Epoch[27/80], Step [300/600], Reconst Loss: 218.4083, KL Div: 15.0772\n",
            "Epoch[27/80], Step [350/600], Reconst Loss: 233.2617, KL Div: 16.3880\n",
            "Epoch[27/80], Step [400/600], Reconst Loss: 221.2234, KL Div: 14.9116\n",
            "Epoch[27/80], Step [450/600], Reconst Loss: 210.9018, KL Div: 15.3399\n",
            "Epoch[27/80], Step [500/600], Reconst Loss: 217.3569, KL Div: 14.4149\n",
            "Epoch[27/80], Step [550/600], Reconst Loss: 216.9370, KL Div: 15.3989\n",
            "Epoch[27/80], Step [600/600], Reconst Loss: 225.4044, KL Div: 15.3829\n",
            "Epoch[28/80], Step [50/600], Reconst Loss: 222.6891, KL Div: 15.0029\n",
            "Epoch[28/80], Step [100/600], Reconst Loss: 230.3553, KL Div: 15.9971\n",
            "Epoch[28/80], Step [150/600], Reconst Loss: 235.0255, KL Div: 16.4050\n",
            "Epoch[28/80], Step [200/600], Reconst Loss: 233.9130, KL Div: 14.8726\n",
            "Epoch[28/80], Step [250/600], Reconst Loss: 229.0809, KL Div: 15.9562\n",
            "Epoch[28/80], Step [300/600], Reconst Loss: 224.0168, KL Div: 15.2503\n",
            "Epoch[28/80], Step [350/600], Reconst Loss: 224.6941, KL Div: 15.1431\n",
            "Epoch[28/80], Step [400/600], Reconst Loss: 234.4177, KL Div: 15.3355\n",
            "Epoch[28/80], Step [450/600], Reconst Loss: 221.2637, KL Div: 15.5637\n",
            "Epoch[28/80], Step [500/600], Reconst Loss: 216.1299, KL Div: 14.9247\n",
            "Epoch[28/80], Step [550/600], Reconst Loss: 214.0394, KL Div: 15.8495\n",
            "Epoch[28/80], Step [600/600], Reconst Loss: 219.8421, KL Div: 15.4120\n",
            "Epoch[29/80], Step [50/600], Reconst Loss: 224.8304, KL Div: 15.1540\n",
            "Epoch[29/80], Step [100/600], Reconst Loss: 213.7946, KL Div: 15.6173\n",
            "Epoch[29/80], Step [150/600], Reconst Loss: 227.9501, KL Div: 15.5011\n",
            "Epoch[29/80], Step [200/600], Reconst Loss: 227.1666, KL Div: 14.9005\n",
            "Epoch[29/80], Step [250/600], Reconst Loss: 225.2903, KL Div: 15.1141\n",
            "Epoch[29/80], Step [300/600], Reconst Loss: 228.6358, KL Div: 14.7872\n",
            "Epoch[29/80], Step [350/600], Reconst Loss: 219.9819, KL Div: 15.6632\n",
            "Epoch[29/80], Step [400/600], Reconst Loss: 230.7311, KL Div: 15.6957\n",
            "Epoch[29/80], Step [450/600], Reconst Loss: 230.2053, KL Div: 15.3679\n",
            "Epoch[29/80], Step [500/600], Reconst Loss: 216.4178, KL Div: 15.2586\n",
            "Epoch[29/80], Step [550/600], Reconst Loss: 229.7738, KL Div: 14.8298\n",
            "Epoch[29/80], Step [600/600], Reconst Loss: 225.5280, KL Div: 15.5640\n",
            "Epoch[30/80], Step [50/600], Reconst Loss: 234.7000, KL Div: 15.7870\n",
            "Epoch[30/80], Step [100/600], Reconst Loss: 220.8123, KL Div: 15.4243\n",
            "Epoch[30/80], Step [150/600], Reconst Loss: 237.8698, KL Div: 15.6253\n",
            "Epoch[30/80], Step [200/600], Reconst Loss: 234.9743, KL Div: 15.3929\n",
            "Epoch[30/80], Step [250/600], Reconst Loss: 219.1795, KL Div: 16.2582\n",
            "Epoch[30/80], Step [300/600], Reconst Loss: 241.3479, KL Div: 14.6941\n",
            "Epoch[30/80], Step [350/600], Reconst Loss: 219.5989, KL Div: 14.6370\n",
            "Epoch[30/80], Step [400/600], Reconst Loss: 224.4360, KL Div: 14.8303\n",
            "Epoch[30/80], Step [450/600], Reconst Loss: 216.1101, KL Div: 15.4877\n",
            "Epoch[30/80], Step [500/600], Reconst Loss: 223.7933, KL Div: 16.0253\n",
            "Epoch[30/80], Step [550/600], Reconst Loss: 221.3612, KL Div: 15.3574\n",
            "Epoch[30/80], Step [600/600], Reconst Loss: 221.0576, KL Div: 15.2958\n",
            "Epoch[31/80], Step [50/600], Reconst Loss: 225.4587, KL Div: 16.1927\n",
            "Epoch[31/80], Step [100/600], Reconst Loss: 222.8458, KL Div: 15.2278\n",
            "Epoch[31/80], Step [150/600], Reconst Loss: 228.9164, KL Div: 15.2308\n",
            "Epoch[31/80], Step [200/600], Reconst Loss: 228.6276, KL Div: 14.9644\n",
            "Epoch[31/80], Step [250/600], Reconst Loss: 229.2393, KL Div: 15.3438\n",
            "Epoch[31/80], Step [300/600], Reconst Loss: 224.9543, KL Div: 15.0287\n",
            "Epoch[31/80], Step [350/600], Reconst Loss: 226.4747, KL Div: 15.3841\n",
            "Epoch[31/80], Step [400/600], Reconst Loss: 220.5613, KL Div: 14.5249\n",
            "Epoch[31/80], Step [450/600], Reconst Loss: 221.8945, KL Div: 15.5955\n",
            "Epoch[31/80], Step [500/600], Reconst Loss: 222.3892, KL Div: 15.6856\n",
            "Epoch[31/80], Step [550/600], Reconst Loss: 223.3970, KL Div: 15.0667\n",
            "Epoch[31/80], Step [600/600], Reconst Loss: 230.4253, KL Div: 15.7537\n",
            "Epoch[32/80], Step [50/600], Reconst Loss: 226.0020, KL Div: 15.9953\n",
            "Epoch[32/80], Step [100/600], Reconst Loss: 216.9057, KL Div: 15.0478\n",
            "Epoch[32/80], Step [150/600], Reconst Loss: 216.1802, KL Div: 15.3432\n",
            "Epoch[32/80], Step [200/600], Reconst Loss: 226.2848, KL Div: 15.4429\n",
            "Epoch[32/80], Step [250/600], Reconst Loss: 234.5250, KL Div: 15.0911\n",
            "Epoch[32/80], Step [300/600], Reconst Loss: 215.5815, KL Div: 15.5931\n",
            "Epoch[32/80], Step [350/600], Reconst Loss: 222.6302, KL Div: 14.9555\n",
            "Epoch[32/80], Step [400/600], Reconst Loss: 215.8609, KL Div: 16.2534\n",
            "Epoch[32/80], Step [450/600], Reconst Loss: 225.5069, KL Div: 15.5651\n",
            "Epoch[32/80], Step [500/600], Reconst Loss: 234.3773, KL Div: 15.9432\n",
            "Epoch[32/80], Step [550/600], Reconst Loss: 212.4366, KL Div: 15.1502\n",
            "Epoch[32/80], Step [600/600], Reconst Loss: 221.3850, KL Div: 15.4050\n",
            "Epoch[33/80], Step [50/600], Reconst Loss: 232.9018, KL Div: 15.9791\n",
            "Epoch[33/80], Step [100/600], Reconst Loss: 233.5864, KL Div: 14.9464\n",
            "Epoch[33/80], Step [150/600], Reconst Loss: 222.4827, KL Div: 15.6958\n",
            "Epoch[33/80], Step [200/600], Reconst Loss: 218.5197, KL Div: 15.2875\n",
            "Epoch[33/80], Step [250/600], Reconst Loss: 233.3370, KL Div: 14.8748\n",
            "Epoch[33/80], Step [300/600], Reconst Loss: 225.5832, KL Div: 16.4920\n",
            "Epoch[33/80], Step [350/600], Reconst Loss: 230.7753, KL Div: 15.1527\n",
            "Epoch[33/80], Step [400/600], Reconst Loss: 216.0358, KL Div: 14.9870\n",
            "Epoch[33/80], Step [450/600], Reconst Loss: 210.3145, KL Div: 14.8663\n",
            "Epoch[33/80], Step [500/600], Reconst Loss: 225.8393, KL Div: 15.3950\n",
            "Epoch[33/80], Step [550/600], Reconst Loss: 220.9982, KL Div: 15.4950\n",
            "Epoch[33/80], Step [600/600], Reconst Loss: 220.9638, KL Div: 15.4527\n",
            "Epoch[34/80], Step [50/600], Reconst Loss: 227.2079, KL Div: 15.4935\n",
            "Epoch[34/80], Step [100/600], Reconst Loss: 213.3386, KL Div: 15.4898\n",
            "Epoch[34/80], Step [150/600], Reconst Loss: 228.1721, KL Div: 15.1500\n",
            "Epoch[34/80], Step [200/600], Reconst Loss: 235.6931, KL Div: 15.4253\n",
            "Epoch[34/80], Step [250/600], Reconst Loss: 226.0589, KL Div: 15.7176\n",
            "Epoch[34/80], Step [300/600], Reconst Loss: 229.1942, KL Div: 15.3564\n",
            "Epoch[34/80], Step [350/600], Reconst Loss: 233.4814, KL Div: 15.1709\n",
            "Epoch[34/80], Step [400/600], Reconst Loss: 222.3106, KL Div: 15.1902\n",
            "Epoch[34/80], Step [450/600], Reconst Loss: 224.9783, KL Div: 15.8491\n",
            "Epoch[34/80], Step [500/600], Reconst Loss: 235.4774, KL Div: 15.9013\n",
            "Epoch[34/80], Step [550/600], Reconst Loss: 231.3891, KL Div: 15.6183\n",
            "Epoch[34/80], Step [600/600], Reconst Loss: 226.4891, KL Div: 15.8201\n",
            "Epoch[35/80], Step [50/600], Reconst Loss: 233.0411, KL Div: 15.1766\n",
            "Epoch[35/80], Step [100/600], Reconst Loss: 220.6336, KL Div: 15.0862\n",
            "Epoch[35/80], Step [150/600], Reconst Loss: 225.6263, KL Div: 14.4650\n",
            "Epoch[35/80], Step [200/600], Reconst Loss: 231.0506, KL Div: 15.3536\n",
            "Epoch[35/80], Step [250/600], Reconst Loss: 233.6011, KL Div: 15.5099\n",
            "Epoch[35/80], Step [300/600], Reconst Loss: 226.1081, KL Div: 15.7038\n",
            "Epoch[35/80], Step [350/600], Reconst Loss: 228.5512, KL Div: 15.3973\n",
            "Epoch[35/80], Step [400/600], Reconst Loss: 219.2425, KL Div: 15.7613\n",
            "Epoch[35/80], Step [450/600], Reconst Loss: 220.5531, KL Div: 15.5334\n",
            "Epoch[35/80], Step [500/600], Reconst Loss: 229.9829, KL Div: 15.6806\n",
            "Epoch[35/80], Step [550/600], Reconst Loss: 230.1625, KL Div: 15.5834\n",
            "Epoch[35/80], Step [600/600], Reconst Loss: 222.5850, KL Div: 15.2843\n",
            "Epoch[36/80], Step [50/600], Reconst Loss: 228.8587, KL Div: 15.3548\n",
            "Epoch[36/80], Step [100/600], Reconst Loss: 223.9371, KL Div: 15.5353\n",
            "Epoch[36/80], Step [150/600], Reconst Loss: 227.0589, KL Div: 14.5720\n",
            "Epoch[36/80], Step [200/600], Reconst Loss: 216.1815, KL Div: 15.2079\n",
            "Epoch[36/80], Step [250/600], Reconst Loss: 234.3954, KL Div: 14.4774\n",
            "Epoch[36/80], Step [300/600], Reconst Loss: 227.1717, KL Div: 15.5357\n",
            "Epoch[36/80], Step [350/600], Reconst Loss: 226.7610, KL Div: 15.5787\n",
            "Epoch[36/80], Step [400/600], Reconst Loss: 214.1506, KL Div: 15.0410\n",
            "Epoch[36/80], Step [450/600], Reconst Loss: 214.5188, KL Div: 14.5806\n",
            "Epoch[36/80], Step [500/600], Reconst Loss: 223.8863, KL Div: 15.7114\n",
            "Epoch[36/80], Step [550/600], Reconst Loss: 230.6766, KL Div: 15.6714\n",
            "Epoch[36/80], Step [600/600], Reconst Loss: 230.3255, KL Div: 14.9299\n",
            "Epoch[37/80], Step [50/600], Reconst Loss: 240.0126, KL Div: 15.8547\n",
            "Epoch[37/80], Step [100/600], Reconst Loss: 222.8032, KL Div: 15.4111\n",
            "Epoch[37/80], Step [150/600], Reconst Loss: 217.8763, KL Div: 15.5680\n",
            "Epoch[37/80], Step [200/600], Reconst Loss: 231.9289, KL Div: 15.7337\n",
            "Epoch[37/80], Step [250/600], Reconst Loss: 236.3319, KL Div: 15.7074\n",
            "Epoch[37/80], Step [300/600], Reconst Loss: 233.4759, KL Div: 15.8580\n",
            "Epoch[37/80], Step [350/600], Reconst Loss: 239.3251, KL Div: 15.1420\n",
            "Epoch[37/80], Step [400/600], Reconst Loss: 224.5870, KL Div: 15.0031\n",
            "Epoch[37/80], Step [450/600], Reconst Loss: 223.1552, KL Div: 15.2838\n",
            "Epoch[37/80], Step [500/600], Reconst Loss: 228.2774, KL Div: 15.3057\n",
            "Epoch[37/80], Step [550/600], Reconst Loss: 220.0353, KL Div: 14.5994\n",
            "Epoch[37/80], Step [600/600], Reconst Loss: 225.5893, KL Div: 16.2839\n",
            "Epoch[38/80], Step [50/600], Reconst Loss: 216.5413, KL Div: 15.4242\n",
            "Epoch[38/80], Step [100/600], Reconst Loss: 229.2377, KL Div: 15.5943\n",
            "Epoch[38/80], Step [150/600], Reconst Loss: 225.1355, KL Div: 15.3666\n",
            "Epoch[38/80], Step [200/600], Reconst Loss: 235.8228, KL Div: 15.6010\n",
            "Epoch[38/80], Step [250/600], Reconst Loss: 230.0884, KL Div: 15.1742\n",
            "Epoch[38/80], Step [300/600], Reconst Loss: 226.6787, KL Div: 16.0269\n",
            "Epoch[38/80], Step [350/600], Reconst Loss: 216.0116, KL Div: 15.4633\n",
            "Epoch[38/80], Step [400/600], Reconst Loss: 240.9582, KL Div: 15.9947\n",
            "Epoch[38/80], Step [450/600], Reconst Loss: 212.3462, KL Div: 15.4940\n",
            "Epoch[38/80], Step [500/600], Reconst Loss: 220.8995, KL Div: 15.4442\n",
            "Epoch[38/80], Step [550/600], Reconst Loss: 206.0602, KL Div: 15.0073\n",
            "Epoch[38/80], Step [600/600], Reconst Loss: 219.8065, KL Div: 15.6696\n",
            "Epoch[39/80], Step [50/600], Reconst Loss: 230.4133, KL Div: 15.8449\n",
            "Epoch[39/80], Step [100/600], Reconst Loss: 222.0488, KL Div: 16.3838\n",
            "Epoch[39/80], Step [150/600], Reconst Loss: 231.2424, KL Div: 15.0639\n",
            "Epoch[39/80], Step [200/600], Reconst Loss: 234.2358, KL Div: 15.5567\n",
            "Epoch[39/80], Step [250/600], Reconst Loss: 242.1643, KL Div: 16.5402\n",
            "Epoch[39/80], Step [300/600], Reconst Loss: 220.1613, KL Div: 14.8096\n",
            "Epoch[39/80], Step [350/600], Reconst Loss: 232.7057, KL Div: 14.7067\n",
            "Epoch[39/80], Step [400/600], Reconst Loss: 221.0719, KL Div: 15.4262\n",
            "Epoch[39/80], Step [450/600], Reconst Loss: 220.8130, KL Div: 15.9589\n",
            "Epoch[39/80], Step [500/600], Reconst Loss: 224.2763, KL Div: 15.3004\n",
            "Epoch[39/80], Step [550/600], Reconst Loss: 225.3560, KL Div: 15.2651\n",
            "Epoch[39/80], Step [600/600], Reconst Loss: 222.6703, KL Div: 15.5862\n",
            "Epoch[40/80], Step [50/600], Reconst Loss: 220.7682, KL Div: 15.6343\n",
            "Epoch[40/80], Step [100/600], Reconst Loss: 217.3912, KL Div: 15.3353\n",
            "Epoch[40/80], Step [150/600], Reconst Loss: 224.2155, KL Div: 15.0736\n",
            "Epoch[40/80], Step [200/600], Reconst Loss: 241.8559, KL Div: 14.4551\n",
            "Epoch[40/80], Step [250/600], Reconst Loss: 234.6013, KL Div: 15.0941\n",
            "Epoch[40/80], Step [300/600], Reconst Loss: 220.5654, KL Div: 15.0592\n",
            "Epoch[40/80], Step [350/600], Reconst Loss: 218.0238, KL Div: 14.9788\n",
            "Epoch[40/80], Step [400/600], Reconst Loss: 213.7150, KL Div: 16.1222\n",
            "Epoch[40/80], Step [450/600], Reconst Loss: 224.9651, KL Div: 15.4090\n",
            "Epoch[40/80], Step [500/600], Reconst Loss: 228.5831, KL Div: 15.2749\n",
            "Epoch[40/80], Step [550/600], Reconst Loss: 221.5244, KL Div: 15.9425\n",
            "Epoch[40/80], Step [600/600], Reconst Loss: 220.3871, KL Div: 14.6222\n",
            "Epoch[41/80], Step [50/600], Reconst Loss: 238.0846, KL Div: 15.7321\n",
            "Epoch[41/80], Step [100/600], Reconst Loss: 236.9609, KL Div: 15.2350\n",
            "Epoch[41/80], Step [150/600], Reconst Loss: 215.3462, KL Div: 15.2807\n",
            "Epoch[41/80], Step [200/600], Reconst Loss: 223.6571, KL Div: 14.8609\n",
            "Epoch[41/80], Step [250/600], Reconst Loss: 229.7417, KL Div: 15.5304\n",
            "Epoch[41/80], Step [300/600], Reconst Loss: 220.3471, KL Div: 16.2259\n",
            "Epoch[41/80], Step [350/600], Reconst Loss: 230.6238, KL Div: 16.0188\n",
            "Epoch[41/80], Step [400/600], Reconst Loss: 236.6447, KL Div: 15.1689\n",
            "Epoch[41/80], Step [450/600], Reconst Loss: 219.4484, KL Div: 15.6233\n",
            "Epoch[41/80], Step [500/600], Reconst Loss: 224.9081, KL Div: 15.5045\n",
            "Epoch[41/80], Step [550/600], Reconst Loss: 222.4421, KL Div: 15.2302\n",
            "Epoch[41/80], Step [600/600], Reconst Loss: 222.8728, KL Div: 14.7857\n",
            "Epoch[42/80], Step [50/600], Reconst Loss: 221.6925, KL Div: 15.5014\n",
            "Epoch[42/80], Step [100/600], Reconst Loss: 212.6457, KL Div: 15.7956\n",
            "Epoch[42/80], Step [150/600], Reconst Loss: 235.7635, KL Div: 15.8625\n",
            "Epoch[42/80], Step [200/600], Reconst Loss: 234.7104, KL Div: 15.4381\n",
            "Epoch[42/80], Step [250/600], Reconst Loss: 216.4009, KL Div: 15.0093\n",
            "Epoch[42/80], Step [300/600], Reconst Loss: 217.7791, KL Div: 15.0647\n",
            "Epoch[42/80], Step [350/600], Reconst Loss: 224.8393, KL Div: 15.1913\n",
            "Epoch[42/80], Step [400/600], Reconst Loss: 223.0035, KL Div: 15.2385\n",
            "Epoch[42/80], Step [450/600], Reconst Loss: 220.5025, KL Div: 15.5008\n",
            "Epoch[42/80], Step [500/600], Reconst Loss: 235.8111, KL Div: 15.6193\n",
            "Epoch[42/80], Step [550/600], Reconst Loss: 230.0058, KL Div: 15.6369\n",
            "Epoch[42/80], Step [600/600], Reconst Loss: 225.9569, KL Div: 16.2368\n",
            "Epoch[43/80], Step [50/600], Reconst Loss: 233.1875, KL Div: 16.1218\n",
            "Epoch[43/80], Step [100/600], Reconst Loss: 216.6051, KL Div: 15.0866\n",
            "Epoch[43/80], Step [150/600], Reconst Loss: 230.5874, KL Div: 14.6345\n",
            "Epoch[43/80], Step [200/600], Reconst Loss: 233.9327, KL Div: 15.6272\n",
            "Epoch[43/80], Step [250/600], Reconst Loss: 235.1572, KL Div: 14.7857\n",
            "Epoch[43/80], Step [300/600], Reconst Loss: 218.8168, KL Div: 15.2535\n",
            "Epoch[43/80], Step [350/600], Reconst Loss: 227.5543, KL Div: 15.2639\n",
            "Epoch[43/80], Step [400/600], Reconst Loss: 235.2240, KL Div: 15.2672\n",
            "Epoch[43/80], Step [450/600], Reconst Loss: 207.3987, KL Div: 15.5092\n",
            "Epoch[43/80], Step [500/600], Reconst Loss: 233.3777, KL Div: 15.4127\n",
            "Epoch[43/80], Step [550/600], Reconst Loss: 221.7624, KL Div: 14.6320\n",
            "Epoch[43/80], Step [600/600], Reconst Loss: 239.4833, KL Div: 16.0724\n",
            "Epoch[44/80], Step [50/600], Reconst Loss: 224.3221, KL Div: 15.9426\n",
            "Epoch[44/80], Step [100/600], Reconst Loss: 216.3447, KL Div: 15.5585\n",
            "Epoch[44/80], Step [150/600], Reconst Loss: 222.9956, KL Div: 15.5660\n",
            "Epoch[44/80], Step [200/600], Reconst Loss: 230.4193, KL Div: 14.9076\n",
            "Epoch[44/80], Step [250/600], Reconst Loss: 222.6590, KL Div: 15.4069\n",
            "Epoch[44/80], Step [300/600], Reconst Loss: 221.5343, KL Div: 15.3126\n",
            "Epoch[44/80], Step [350/600], Reconst Loss: 210.6468, KL Div: 15.5327\n",
            "Epoch[44/80], Step [400/600], Reconst Loss: 238.1250, KL Div: 15.6455\n",
            "Epoch[44/80], Step [450/600], Reconst Loss: 222.9559, KL Div: 15.2202\n",
            "Epoch[44/80], Step [500/600], Reconst Loss: 214.2396, KL Div: 15.5900\n",
            "Epoch[44/80], Step [550/600], Reconst Loss: 212.9012, KL Div: 15.4014\n",
            "Epoch[44/80], Step [600/600], Reconst Loss: 220.1446, KL Div: 16.1383\n",
            "Epoch[45/80], Step [50/600], Reconst Loss: 218.1703, KL Div: 15.3780\n",
            "Epoch[45/80], Step [100/600], Reconst Loss: 225.9829, KL Div: 16.0748\n",
            "Epoch[45/80], Step [150/600], Reconst Loss: 228.1186, KL Div: 16.3919\n",
            "Epoch[45/80], Step [200/600], Reconst Loss: 229.7500, KL Div: 15.4214\n",
            "Epoch[45/80], Step [250/600], Reconst Loss: 231.3994, KL Div: 15.1435\n",
            "Epoch[45/80], Step [300/600], Reconst Loss: 227.5884, KL Div: 15.5260\n",
            "Epoch[45/80], Step [350/600], Reconst Loss: 236.1393, KL Div: 15.8163\n",
            "Epoch[45/80], Step [400/600], Reconst Loss: 230.8020, KL Div: 16.0307\n",
            "Epoch[45/80], Step [450/600], Reconst Loss: 223.8540, KL Div: 15.3282\n",
            "Epoch[45/80], Step [500/600], Reconst Loss: 215.0046, KL Div: 15.5223\n",
            "Epoch[45/80], Step [550/600], Reconst Loss: 238.8866, KL Div: 15.6615\n",
            "Epoch[45/80], Step [600/600], Reconst Loss: 226.0107, KL Div: 15.4806\n",
            "Epoch[46/80], Step [50/600], Reconst Loss: 223.4263, KL Div: 15.4112\n",
            "Epoch[46/80], Step [100/600], Reconst Loss: 221.6614, KL Div: 15.0026\n",
            "Epoch[46/80], Step [150/600], Reconst Loss: 221.9243, KL Div: 15.2261\n",
            "Epoch[46/80], Step [200/600], Reconst Loss: 228.3202, KL Div: 15.5483\n",
            "Epoch[46/80], Step [250/600], Reconst Loss: 227.6846, KL Div: 14.5197\n",
            "Epoch[46/80], Step [300/600], Reconst Loss: 219.8889, KL Div: 15.8590\n",
            "Epoch[46/80], Step [350/600], Reconst Loss: 234.0902, KL Div: 14.8797\n",
            "Epoch[46/80], Step [400/600], Reconst Loss: 226.2051, KL Div: 14.9456\n",
            "Epoch[46/80], Step [450/600], Reconst Loss: 207.7653, KL Div: 14.9733\n",
            "Epoch[46/80], Step [500/600], Reconst Loss: 217.2242, KL Div: 15.4454\n",
            "Epoch[46/80], Step [550/600], Reconst Loss: 226.2146, KL Div: 15.6803\n",
            "Epoch[46/80], Step [600/600], Reconst Loss: 222.1735, KL Div: 15.4720\n",
            "Epoch[47/80], Step [50/600], Reconst Loss: 227.5382, KL Div: 15.6716\n",
            "Epoch[47/80], Step [100/600], Reconst Loss: 221.1952, KL Div: 14.8040\n",
            "Epoch[47/80], Step [150/600], Reconst Loss: 224.6939, KL Div: 15.5415\n",
            "Epoch[47/80], Step [200/600], Reconst Loss: 214.4484, KL Div: 15.0028\n",
            "Epoch[47/80], Step [250/600], Reconst Loss: 215.3674, KL Div: 15.5682\n",
            "Epoch[47/80], Step [300/600], Reconst Loss: 228.4607, KL Div: 15.2115\n",
            "Epoch[47/80], Step [350/600], Reconst Loss: 238.6676, KL Div: 14.9148\n",
            "Epoch[47/80], Step [400/600], Reconst Loss: 216.6788, KL Div: 15.8844\n",
            "Epoch[47/80], Step [450/600], Reconst Loss: 229.9338, KL Div: 15.8186\n",
            "Epoch[47/80], Step [500/600], Reconst Loss: 215.3481, KL Div: 15.8322\n",
            "Epoch[47/80], Step [550/600], Reconst Loss: 228.5425, KL Div: 15.6579\n",
            "Epoch[47/80], Step [600/600], Reconst Loss: 228.4017, KL Div: 15.1240\n",
            "Epoch[48/80], Step [50/600], Reconst Loss: 220.7652, KL Div: 16.2553\n",
            "Epoch[48/80], Step [100/600], Reconst Loss: 217.7416, KL Div: 14.3099\n",
            "Epoch[48/80], Step [150/600], Reconst Loss: 225.1684, KL Div: 15.3318\n",
            "Epoch[48/80], Step [200/600], Reconst Loss: 220.3998, KL Div: 15.9761\n",
            "Epoch[48/80], Step [250/600], Reconst Loss: 227.3096, KL Div: 14.8748\n",
            "Epoch[48/80], Step [300/600], Reconst Loss: 225.5845, KL Div: 15.4754\n",
            "Epoch[48/80], Step [350/600], Reconst Loss: 224.0300, KL Div: 15.9255\n",
            "Epoch[48/80], Step [400/600], Reconst Loss: 215.5434, KL Div: 14.9221\n",
            "Epoch[48/80], Step [450/600], Reconst Loss: 208.5398, KL Div: 15.4447\n",
            "Epoch[48/80], Step [500/600], Reconst Loss: 236.1968, KL Div: 14.8024\n",
            "Epoch[48/80], Step [550/600], Reconst Loss: 228.5134, KL Div: 15.1863\n",
            "Epoch[48/80], Step [600/600], Reconst Loss: 215.9830, KL Div: 14.8626\n",
            "Epoch[49/80], Step [50/600], Reconst Loss: 226.1220, KL Div: 15.3847\n",
            "Epoch[49/80], Step [100/600], Reconst Loss: 218.4160, KL Div: 15.2286\n",
            "Epoch[49/80], Step [150/600], Reconst Loss: 232.2068, KL Div: 14.9300\n",
            "Epoch[49/80], Step [200/600], Reconst Loss: 223.9529, KL Div: 15.4556\n",
            "Epoch[49/80], Step [250/600], Reconst Loss: 221.2173, KL Div: 14.7156\n",
            "Epoch[49/80], Step [300/600], Reconst Loss: 245.5719, KL Div: 15.6404\n",
            "Epoch[49/80], Step [350/600], Reconst Loss: 224.7817, KL Div: 15.0083\n",
            "Epoch[49/80], Step [400/600], Reconst Loss: 220.9443, KL Div: 15.0800\n",
            "Epoch[49/80], Step [450/600], Reconst Loss: 218.0095, KL Div: 14.6613\n",
            "Epoch[49/80], Step [500/600], Reconst Loss: 230.3582, KL Div: 15.1104\n",
            "Epoch[49/80], Step [550/600], Reconst Loss: 221.2852, KL Div: 15.9117\n",
            "Epoch[49/80], Step [600/600], Reconst Loss: 242.5437, KL Div: 14.9827\n",
            "Epoch[50/80], Step [50/600], Reconst Loss: 220.4295, KL Div: 15.3791\n",
            "Epoch[50/80], Step [100/600], Reconst Loss: 217.2493, KL Div: 14.9369\n",
            "Epoch[50/80], Step [150/600], Reconst Loss: 229.9887, KL Div: 16.0851\n",
            "Epoch[50/80], Step [200/600], Reconst Loss: 208.8994, KL Div: 14.6694\n",
            "Epoch[50/80], Step [250/600], Reconst Loss: 223.1944, KL Div: 15.1067\n",
            "Epoch[50/80], Step [300/600], Reconst Loss: 217.0140, KL Div: 15.0017\n",
            "Epoch[50/80], Step [350/600], Reconst Loss: 220.0071, KL Div: 15.6906\n",
            "Epoch[50/80], Step [400/600], Reconst Loss: 214.5194, KL Div: 15.0180\n",
            "Epoch[50/80], Step [450/600], Reconst Loss: 227.1851, KL Div: 16.0237\n",
            "Epoch[50/80], Step [500/600], Reconst Loss: 219.3614, KL Div: 15.1163\n",
            "Epoch[50/80], Step [550/600], Reconst Loss: 225.3877, KL Div: 14.9984\n",
            "Epoch[50/80], Step [600/600], Reconst Loss: 230.6595, KL Div: 15.4334\n",
            "Epoch[51/80], Step [50/600], Reconst Loss: 226.7632, KL Div: 14.6204\n",
            "Epoch[51/80], Step [100/600], Reconst Loss: 222.6273, KL Div: 15.3079\n",
            "Epoch[51/80], Step [150/600], Reconst Loss: 225.6627, KL Div: 15.3370\n",
            "Epoch[51/80], Step [200/600], Reconst Loss: 227.6347, KL Div: 16.0636\n",
            "Epoch[51/80], Step [250/600], Reconst Loss: 229.4443, KL Div: 15.4336\n",
            "Epoch[51/80], Step [300/600], Reconst Loss: 224.5735, KL Div: 15.0699\n",
            "Epoch[51/80], Step [350/600], Reconst Loss: 229.3279, KL Div: 15.3158\n",
            "Epoch[51/80], Step [400/600], Reconst Loss: 217.8896, KL Div: 15.0131\n",
            "Epoch[51/80], Step [450/600], Reconst Loss: 220.4406, KL Div: 14.6888\n",
            "Epoch[51/80], Step [500/600], Reconst Loss: 228.6638, KL Div: 15.7315\n",
            "Epoch[51/80], Step [550/600], Reconst Loss: 225.5942, KL Div: 15.3530\n",
            "Epoch[51/80], Step [600/600], Reconst Loss: 224.6463, KL Div: 14.8860\n",
            "Epoch[52/80], Step [50/600], Reconst Loss: 226.5346, KL Div: 15.2690\n",
            "Epoch[52/80], Step [100/600], Reconst Loss: 222.6767, KL Div: 15.7630\n",
            "Epoch[52/80], Step [150/600], Reconst Loss: 227.5807, KL Div: 15.0686\n",
            "Epoch[52/80], Step [200/600], Reconst Loss: 229.5926, KL Div: 16.1100\n",
            "Epoch[52/80], Step [250/600], Reconst Loss: 221.0817, KL Div: 14.8161\n",
            "Epoch[52/80], Step [300/600], Reconst Loss: 223.4948, KL Div: 15.3364\n",
            "Epoch[52/80], Step [350/600], Reconst Loss: 231.0607, KL Div: 15.5850\n",
            "Epoch[52/80], Step [400/600], Reconst Loss: 230.7459, KL Div: 14.8670\n",
            "Epoch[52/80], Step [450/600], Reconst Loss: 217.8823, KL Div: 15.3453\n",
            "Epoch[52/80], Step [500/600], Reconst Loss: 217.9930, KL Div: 15.5538\n",
            "Epoch[52/80], Step [550/600], Reconst Loss: 227.0861, KL Div: 15.8395\n",
            "Epoch[52/80], Step [600/600], Reconst Loss: 225.7125, KL Div: 15.3887\n",
            "Epoch[53/80], Step [50/600], Reconst Loss: 217.9674, KL Div: 15.3604\n",
            "Epoch[53/80], Step [100/600], Reconst Loss: 221.3111, KL Div: 14.8558\n",
            "Epoch[53/80], Step [150/600], Reconst Loss: 228.9305, KL Div: 15.9146\n",
            "Epoch[53/80], Step [200/600], Reconst Loss: 243.3902, KL Div: 14.8324\n",
            "Epoch[53/80], Step [250/600], Reconst Loss: 222.5829, KL Div: 15.8162\n",
            "Epoch[53/80], Step [300/600], Reconst Loss: 218.4118, KL Div: 15.1945\n",
            "Epoch[53/80], Step [350/600], Reconst Loss: 221.3471, KL Div: 15.4031\n",
            "Epoch[53/80], Step [400/600], Reconst Loss: 226.4482, KL Div: 15.1595\n",
            "Epoch[53/80], Step [450/600], Reconst Loss: 218.8543, KL Div: 15.5972\n",
            "Epoch[53/80], Step [500/600], Reconst Loss: 228.3421, KL Div: 15.2501\n",
            "Epoch[53/80], Step [550/600], Reconst Loss: 224.7142, KL Div: 15.5606\n",
            "Epoch[53/80], Step [600/600], Reconst Loss: 221.3605, KL Div: 15.3788\n",
            "Epoch[54/80], Step [50/600], Reconst Loss: 239.2015, KL Div: 15.7138\n",
            "Epoch[54/80], Step [100/600], Reconst Loss: 233.3127, KL Div: 15.8452\n",
            "Epoch[54/80], Step [150/600], Reconst Loss: 211.9026, KL Div: 15.9516\n",
            "Epoch[54/80], Step [200/600], Reconst Loss: 238.1645, KL Div: 14.6136\n",
            "Epoch[54/80], Step [250/600], Reconst Loss: 213.3526, KL Div: 15.9107\n",
            "Epoch[54/80], Step [300/600], Reconst Loss: 223.4219, KL Div: 15.3201\n",
            "Epoch[54/80], Step [350/600], Reconst Loss: 228.1541, KL Div: 15.0959\n",
            "Epoch[54/80], Step [400/600], Reconst Loss: 215.7122, KL Div: 14.8180\n",
            "Epoch[54/80], Step [450/600], Reconst Loss: 222.7867, KL Div: 15.1748\n",
            "Epoch[54/80], Step [500/600], Reconst Loss: 223.3755, KL Div: 15.2294\n",
            "Epoch[54/80], Step [550/600], Reconst Loss: 224.5187, KL Div: 15.4370\n",
            "Epoch[54/80], Step [600/600], Reconst Loss: 220.9287, KL Div: 16.2470\n",
            "Epoch[55/80], Step [50/600], Reconst Loss: 223.4658, KL Div: 14.8571\n",
            "Epoch[55/80], Step [100/600], Reconst Loss: 210.1833, KL Div: 15.1774\n",
            "Epoch[55/80], Step [150/600], Reconst Loss: 218.0388, KL Div: 14.9450\n",
            "Epoch[55/80], Step [200/600], Reconst Loss: 215.5694, KL Div: 15.4289\n",
            "Epoch[55/80], Step [250/600], Reconst Loss: 224.0718, KL Div: 15.5101\n",
            "Epoch[55/80], Step [300/600], Reconst Loss: 214.6984, KL Div: 16.1300\n",
            "Epoch[55/80], Step [350/600], Reconst Loss: 233.6968, KL Div: 15.1144\n",
            "Epoch[55/80], Step [400/600], Reconst Loss: 230.8616, KL Div: 14.9899\n",
            "Epoch[55/80], Step [450/600], Reconst Loss: 228.9864, KL Div: 14.7685\n",
            "Epoch[55/80], Step [500/600], Reconst Loss: 220.9636, KL Div: 15.5852\n",
            "Epoch[55/80], Step [550/600], Reconst Loss: 228.0898, KL Div: 15.0726\n",
            "Epoch[55/80], Step [600/600], Reconst Loss: 221.5063, KL Div: 15.7819\n",
            "Epoch[56/80], Step [50/600], Reconst Loss: 222.7686, KL Div: 15.3454\n",
            "Epoch[56/80], Step [100/600], Reconst Loss: 220.4890, KL Div: 15.3827\n",
            "Epoch[56/80], Step [150/600], Reconst Loss: 222.3837, KL Div: 14.9630\n",
            "Epoch[56/80], Step [200/600], Reconst Loss: 227.2977, KL Div: 15.1894\n",
            "Epoch[56/80], Step [250/600], Reconst Loss: 223.9923, KL Div: 15.1677\n",
            "Epoch[56/80], Step [300/600], Reconst Loss: 238.4747, KL Div: 15.3709\n",
            "Epoch[56/80], Step [350/600], Reconst Loss: 225.9882, KL Div: 14.9054\n",
            "Epoch[56/80], Step [400/600], Reconst Loss: 241.7355, KL Div: 15.2773\n",
            "Epoch[56/80], Step [450/600], Reconst Loss: 222.3782, KL Div: 15.7416\n",
            "Epoch[56/80], Step [500/600], Reconst Loss: 223.9629, KL Div: 15.9233\n",
            "Epoch[56/80], Step [550/600], Reconst Loss: 220.1576, KL Div: 14.7932\n",
            "Epoch[56/80], Step [600/600], Reconst Loss: 210.2301, KL Div: 15.7868\n",
            "Epoch[57/80], Step [50/600], Reconst Loss: 223.8336, KL Div: 15.8416\n",
            "Epoch[57/80], Step [100/600], Reconst Loss: 219.1248, KL Div: 14.9896\n",
            "Epoch[57/80], Step [150/600], Reconst Loss: 214.1777, KL Div: 15.6180\n",
            "Epoch[57/80], Step [200/600], Reconst Loss: 236.6326, KL Div: 15.4316\n",
            "Epoch[57/80], Step [250/600], Reconst Loss: 221.2867, KL Div: 15.5769\n",
            "Epoch[57/80], Step [300/600], Reconst Loss: 217.0967, KL Div: 16.3302\n",
            "Epoch[57/80], Step [350/600], Reconst Loss: 208.0162, KL Div: 14.4683\n",
            "Epoch[57/80], Step [400/600], Reconst Loss: 212.8238, KL Div: 15.7782\n",
            "Epoch[57/80], Step [450/600], Reconst Loss: 220.0513, KL Div: 15.0597\n",
            "Epoch[57/80], Step [500/600], Reconst Loss: 227.9752, KL Div: 15.9854\n",
            "Epoch[57/80], Step [550/600], Reconst Loss: 227.8661, KL Div: 14.9327\n",
            "Epoch[57/80], Step [600/600], Reconst Loss: 227.8428, KL Div: 15.1176\n",
            "Epoch[58/80], Step [50/600], Reconst Loss: 222.2270, KL Div: 15.4698\n",
            "Epoch[58/80], Step [100/600], Reconst Loss: 226.1648, KL Div: 15.2431\n",
            "Epoch[58/80], Step [150/600], Reconst Loss: 229.0278, KL Div: 15.0244\n",
            "Epoch[58/80], Step [200/600], Reconst Loss: 226.1236, KL Div: 15.5064\n",
            "Epoch[58/80], Step [250/600], Reconst Loss: 222.9231, KL Div: 15.4810\n",
            "Epoch[58/80], Step [300/600], Reconst Loss: 221.4001, KL Div: 15.4239\n",
            "Epoch[58/80], Step [350/600], Reconst Loss: 225.1201, KL Div: 14.5759\n",
            "Epoch[58/80], Step [400/600], Reconst Loss: 221.2475, KL Div: 15.8264\n",
            "Epoch[58/80], Step [450/600], Reconst Loss: 231.5043, KL Div: 15.7337\n",
            "Epoch[58/80], Step [500/600], Reconst Loss: 227.9782, KL Div: 15.2599\n",
            "Epoch[58/80], Step [550/600], Reconst Loss: 220.8899, KL Div: 15.6285\n",
            "Epoch[58/80], Step [600/600], Reconst Loss: 211.6282, KL Div: 15.2794\n",
            "Epoch[59/80], Step [50/600], Reconst Loss: 226.6985, KL Div: 15.0345\n",
            "Epoch[59/80], Step [100/600], Reconst Loss: 213.3435, KL Div: 14.8313\n",
            "Epoch[59/80], Step [150/600], Reconst Loss: 236.7359, KL Div: 15.8572\n",
            "Epoch[59/80], Step [200/600], Reconst Loss: 229.7209, KL Div: 15.8438\n",
            "Epoch[59/80], Step [250/600], Reconst Loss: 214.2978, KL Div: 14.8225\n",
            "Epoch[59/80], Step [300/600], Reconst Loss: 223.5946, KL Div: 15.4867\n",
            "Epoch[59/80], Step [350/600], Reconst Loss: 223.5543, KL Div: 15.3545\n",
            "Epoch[59/80], Step [400/600], Reconst Loss: 231.0785, KL Div: 15.6276\n",
            "Epoch[59/80], Step [450/600], Reconst Loss: 234.5183, KL Div: 15.7350\n",
            "Epoch[59/80], Step [500/600], Reconst Loss: 244.7974, KL Div: 15.1525\n",
            "Epoch[59/80], Step [550/600], Reconst Loss: 234.4278, KL Div: 15.3055\n",
            "Epoch[59/80], Step [600/600], Reconst Loss: 223.1727, KL Div: 16.2577\n",
            "Epoch[60/80], Step [50/600], Reconst Loss: 234.2513, KL Div: 15.2500\n",
            "Epoch[60/80], Step [100/600], Reconst Loss: 219.9173, KL Div: 15.5814\n",
            "Epoch[60/80], Step [150/600], Reconst Loss: 226.3565, KL Div: 15.1941\n",
            "Epoch[60/80], Step [200/600], Reconst Loss: 228.9141, KL Div: 15.5136\n",
            "Epoch[60/80], Step [250/600], Reconst Loss: 236.4820, KL Div: 15.5122\n",
            "Epoch[60/80], Step [300/600], Reconst Loss: 229.2357, KL Div: 15.0532\n",
            "Epoch[60/80], Step [350/600], Reconst Loss: 228.8465, KL Div: 15.4553\n",
            "Epoch[60/80], Step [400/600], Reconst Loss: 227.9523, KL Div: 15.3702\n",
            "Epoch[60/80], Step [450/600], Reconst Loss: 223.0794, KL Div: 15.0221\n",
            "Epoch[60/80], Step [500/600], Reconst Loss: 220.2904, KL Div: 15.2329\n",
            "Epoch[60/80], Step [550/600], Reconst Loss: 218.4698, KL Div: 15.0925\n",
            "Epoch[60/80], Step [600/600], Reconst Loss: 220.3736, KL Div: 15.1070\n",
            "Epoch[61/80], Step [50/600], Reconst Loss: 226.9910, KL Div: 14.6346\n",
            "Epoch[61/80], Step [100/600], Reconst Loss: 223.0945, KL Div: 15.4465\n",
            "Epoch[61/80], Step [150/600], Reconst Loss: 222.2907, KL Div: 15.5881\n",
            "Epoch[61/80], Step [200/600], Reconst Loss: 228.8363, KL Div: 14.9968\n",
            "Epoch[61/80], Step [250/600], Reconst Loss: 223.9629, KL Div: 15.3322\n",
            "Epoch[61/80], Step [300/600], Reconst Loss: 229.8431, KL Div: 15.4306\n",
            "Epoch[61/80], Step [350/600], Reconst Loss: 211.6867, KL Div: 15.6787\n",
            "Epoch[61/80], Step [400/600], Reconst Loss: 212.8209, KL Div: 15.6481\n",
            "Epoch[61/80], Step [450/600], Reconst Loss: 226.7861, KL Div: 15.1756\n",
            "Epoch[61/80], Step [500/600], Reconst Loss: 233.8131, KL Div: 15.7450\n",
            "Epoch[61/80], Step [550/600], Reconst Loss: 214.9937, KL Div: 15.4026\n",
            "Epoch[61/80], Step [600/600], Reconst Loss: 218.8746, KL Div: 15.8317\n",
            "Epoch[62/80], Step [50/600], Reconst Loss: 232.1509, KL Div: 15.4233\n",
            "Epoch[62/80], Step [100/600], Reconst Loss: 230.6397, KL Div: 15.5666\n",
            "Epoch[62/80], Step [150/600], Reconst Loss: 234.6742, KL Div: 15.3930\n",
            "Epoch[62/80], Step [200/600], Reconst Loss: 220.4642, KL Div: 14.9658\n",
            "Epoch[62/80], Step [250/600], Reconst Loss: 216.9929, KL Div: 15.1711\n",
            "Epoch[62/80], Step [300/600], Reconst Loss: 219.0071, KL Div: 15.1323\n",
            "Epoch[62/80], Step [350/600], Reconst Loss: 222.1425, KL Div: 15.1064\n",
            "Epoch[62/80], Step [400/600], Reconst Loss: 216.8999, KL Div: 15.2023\n",
            "Epoch[62/80], Step [450/600], Reconst Loss: 212.8857, KL Div: 15.1754\n",
            "Epoch[62/80], Step [500/600], Reconst Loss: 221.0386, KL Div: 15.7964\n",
            "Epoch[62/80], Step [550/600], Reconst Loss: 218.7993, KL Div: 15.8987\n",
            "Epoch[62/80], Step [600/600], Reconst Loss: 217.4987, KL Div: 15.7772\n",
            "Epoch[63/80], Step [50/600], Reconst Loss: 225.5482, KL Div: 15.2819\n",
            "Epoch[63/80], Step [100/600], Reconst Loss: 222.7005, KL Div: 15.6889\n",
            "Epoch[63/80], Step [150/600], Reconst Loss: 233.3177, KL Div: 15.3695\n",
            "Epoch[63/80], Step [200/600], Reconst Loss: 218.1074, KL Div: 15.0112\n",
            "Epoch[63/80], Step [250/600], Reconst Loss: 223.8353, KL Div: 15.6704\n",
            "Epoch[63/80], Step [300/600], Reconst Loss: 230.6004, KL Div: 15.3523\n",
            "Epoch[63/80], Step [350/600], Reconst Loss: 220.0018, KL Div: 14.7020\n",
            "Epoch[63/80], Step [400/600], Reconst Loss: 221.5141, KL Div: 15.6375\n",
            "Epoch[63/80], Step [450/600], Reconst Loss: 230.2166, KL Div: 15.4984\n",
            "Epoch[63/80], Step [500/600], Reconst Loss: 225.8502, KL Div: 15.6445\n",
            "Epoch[63/80], Step [550/600], Reconst Loss: 220.7617, KL Div: 14.9453\n",
            "Epoch[63/80], Step [600/600], Reconst Loss: 213.4987, KL Div: 15.5442\n",
            "Epoch[64/80], Step [50/600], Reconst Loss: 220.4453, KL Div: 15.2714\n",
            "Epoch[64/80], Step [100/600], Reconst Loss: 220.7822, KL Div: 15.5924\n",
            "Epoch[64/80], Step [150/600], Reconst Loss: 232.7857, KL Div: 15.6897\n",
            "Epoch[64/80], Step [200/600], Reconst Loss: 219.6203, KL Div: 14.9887\n",
            "Epoch[64/80], Step [250/600], Reconst Loss: 229.1892, KL Div: 14.8182\n",
            "Epoch[64/80], Step [300/600], Reconst Loss: 223.2742, KL Div: 15.2302\n",
            "Epoch[64/80], Step [350/600], Reconst Loss: 221.9813, KL Div: 15.6557\n",
            "Epoch[64/80], Step [400/600], Reconst Loss: 226.6639, KL Div: 15.4408\n",
            "Epoch[64/80], Step [450/600], Reconst Loss: 221.1427, KL Div: 15.2768\n",
            "Epoch[64/80], Step [500/600], Reconst Loss: 228.3106, KL Div: 15.2581\n",
            "Epoch[64/80], Step [550/600], Reconst Loss: 223.2890, KL Div: 15.6491\n",
            "Epoch[64/80], Step [600/600], Reconst Loss: 213.9025, KL Div: 15.1385\n",
            "Epoch[65/80], Step [50/600], Reconst Loss: 231.3778, KL Div: 15.4234\n",
            "Epoch[65/80], Step [100/600], Reconst Loss: 222.8744, KL Div: 15.4951\n",
            "Epoch[65/80], Step [150/600], Reconst Loss: 235.5853, KL Div: 15.6732\n",
            "Epoch[65/80], Step [200/600], Reconst Loss: 226.6014, KL Div: 14.9784\n",
            "Epoch[65/80], Step [250/600], Reconst Loss: 231.7152, KL Div: 15.8439\n",
            "Epoch[65/80], Step [300/600], Reconst Loss: 228.6938, KL Div: 15.4018\n",
            "Epoch[65/80], Step [350/600], Reconst Loss: 230.9534, KL Div: 15.6410\n",
            "Epoch[65/80], Step [400/600], Reconst Loss: 219.4510, KL Div: 15.2507\n",
            "Epoch[65/80], Step [450/600], Reconst Loss: 220.0370, KL Div: 15.5865\n",
            "Epoch[65/80], Step [500/600], Reconst Loss: 212.5520, KL Div: 15.3865\n",
            "Epoch[65/80], Step [550/600], Reconst Loss: 227.2673, KL Div: 15.3209\n",
            "Epoch[65/80], Step [600/600], Reconst Loss: 217.6748, KL Div: 15.6438\n",
            "Epoch[66/80], Step [50/600], Reconst Loss: 230.1862, KL Div: 15.2587\n",
            "Epoch[66/80], Step [100/600], Reconst Loss: 220.3331, KL Div: 15.1879\n",
            "Epoch[66/80], Step [150/600], Reconst Loss: 222.4908, KL Div: 15.4121\n",
            "Epoch[66/80], Step [200/600], Reconst Loss: 229.0433, KL Div: 15.3472\n",
            "Epoch[66/80], Step [250/600], Reconst Loss: 230.2669, KL Div: 16.0578\n",
            "Epoch[66/80], Step [300/600], Reconst Loss: 214.3656, KL Div: 15.3067\n",
            "Epoch[66/80], Step [350/600], Reconst Loss: 227.4938, KL Div: 15.4252\n",
            "Epoch[66/80], Step [400/600], Reconst Loss: 218.8643, KL Div: 15.2513\n",
            "Epoch[66/80], Step [450/600], Reconst Loss: 215.0412, KL Div: 14.8401\n",
            "Epoch[66/80], Step [500/600], Reconst Loss: 219.8440, KL Div: 15.3397\n",
            "Epoch[66/80], Step [550/600], Reconst Loss: 232.4923, KL Div: 14.7062\n",
            "Epoch[66/80], Step [600/600], Reconst Loss: 213.2739, KL Div: 15.7482\n",
            "Epoch[67/80], Step [50/600], Reconst Loss: 218.5336, KL Div: 15.3516\n",
            "Epoch[67/80], Step [100/600], Reconst Loss: 223.6317, KL Div: 15.6533\n",
            "Epoch[67/80], Step [150/600], Reconst Loss: 213.5529, KL Div: 15.0298\n",
            "Epoch[67/80], Step [200/600], Reconst Loss: 214.9488, KL Div: 15.0375\n",
            "Epoch[67/80], Step [250/600], Reconst Loss: 230.1891, KL Div: 16.0053\n",
            "Epoch[67/80], Step [300/600], Reconst Loss: 227.1710, KL Div: 15.3130\n",
            "Epoch[67/80], Step [350/600], Reconst Loss: 222.3419, KL Div: 15.4817\n",
            "Epoch[67/80], Step [400/600], Reconst Loss: 222.0080, KL Div: 15.2722\n",
            "Epoch[67/80], Step [450/600], Reconst Loss: 219.5571, KL Div: 15.2655\n",
            "Epoch[67/80], Step [500/600], Reconst Loss: 224.2481, KL Div: 15.7625\n",
            "Epoch[67/80], Step [550/600], Reconst Loss: 222.7991, KL Div: 15.1541\n",
            "Epoch[67/80], Step [600/600], Reconst Loss: 203.0688, KL Div: 14.9620\n",
            "Epoch[68/80], Step [50/600], Reconst Loss: 240.1309, KL Div: 15.5373\n",
            "Epoch[68/80], Step [100/600], Reconst Loss: 222.1279, KL Div: 15.7097\n",
            "Epoch[68/80], Step [150/600], Reconst Loss: 222.8904, KL Div: 15.1853\n",
            "Epoch[68/80], Step [200/600], Reconst Loss: 227.1625, KL Div: 15.5289\n",
            "Epoch[68/80], Step [250/600], Reconst Loss: 228.1965, KL Div: 15.1860\n",
            "Epoch[68/80], Step [300/600], Reconst Loss: 229.6376, KL Div: 14.7628\n",
            "Epoch[68/80], Step [350/600], Reconst Loss: 228.5907, KL Div: 15.6680\n",
            "Epoch[68/80], Step [400/600], Reconst Loss: 233.3973, KL Div: 15.9778\n",
            "Epoch[68/80], Step [450/600], Reconst Loss: 215.0166, KL Div: 15.5431\n",
            "Epoch[68/80], Step [500/600], Reconst Loss: 242.8281, KL Div: 15.7051\n",
            "Epoch[68/80], Step [550/600], Reconst Loss: 219.0243, KL Div: 15.2015\n",
            "Epoch[68/80], Step [600/600], Reconst Loss: 214.4452, KL Div: 15.5046\n",
            "Epoch[69/80], Step [50/600], Reconst Loss: 223.3892, KL Div: 15.9408\n",
            "Epoch[69/80], Step [100/600], Reconst Loss: 209.1947, KL Div: 15.2207\n",
            "Epoch[69/80], Step [150/600], Reconst Loss: 221.7130, KL Div: 15.1798\n",
            "Epoch[69/80], Step [200/600], Reconst Loss: 219.9287, KL Div: 15.6253\n",
            "Epoch[69/80], Step [250/600], Reconst Loss: 239.1673, KL Div: 15.2896\n",
            "Epoch[69/80], Step [300/600], Reconst Loss: 217.9782, KL Div: 14.8518\n",
            "Epoch[69/80], Step [350/600], Reconst Loss: 233.4759, KL Div: 15.4785\n",
            "Epoch[69/80], Step [400/600], Reconst Loss: 228.6284, KL Div: 15.2647\n",
            "Epoch[69/80], Step [450/600], Reconst Loss: 208.1525, KL Div: 14.6785\n",
            "Epoch[69/80], Step [500/600], Reconst Loss: 222.6032, KL Div: 15.7197\n",
            "Epoch[69/80], Step [550/600], Reconst Loss: 221.2679, KL Div: 15.1126\n",
            "Epoch[69/80], Step [600/600], Reconst Loss: 218.6800, KL Div: 16.2124\n",
            "Epoch[70/80], Step [50/600], Reconst Loss: 223.3759, KL Div: 16.1844\n",
            "Epoch[70/80], Step [100/600], Reconst Loss: 228.3945, KL Div: 15.4752\n",
            "Epoch[70/80], Step [150/600], Reconst Loss: 234.6304, KL Div: 15.4359\n",
            "Epoch[70/80], Step [200/600], Reconst Loss: 233.9743, KL Div: 15.3682\n",
            "Epoch[70/80], Step [250/600], Reconst Loss: 219.4214, KL Div: 14.5423\n",
            "Epoch[70/80], Step [300/600], Reconst Loss: 215.9790, KL Div: 16.1796\n",
            "Epoch[70/80], Step [350/600], Reconst Loss: 230.6976, KL Div: 14.8567\n",
            "Epoch[70/80], Step [400/600], Reconst Loss: 230.9996, KL Div: 15.4321\n",
            "Epoch[70/80], Step [450/600], Reconst Loss: 222.9131, KL Div: 15.6355\n",
            "Epoch[70/80], Step [500/600], Reconst Loss: 225.5958, KL Div: 15.4640\n",
            "Epoch[70/80], Step [550/600], Reconst Loss: 231.2776, KL Div: 15.4225\n",
            "Epoch[70/80], Step [600/600], Reconst Loss: 224.0434, KL Div: 15.7126\n",
            "Epoch[71/80], Step [50/600], Reconst Loss: 231.6750, KL Div: 15.8405\n",
            "Epoch[71/80], Step [100/600], Reconst Loss: 226.7625, KL Div: 15.9400\n",
            "Epoch[71/80], Step [150/600], Reconst Loss: 225.6086, KL Div: 15.1649\n",
            "Epoch[71/80], Step [200/600], Reconst Loss: 220.1556, KL Div: 15.0960\n",
            "Epoch[71/80], Step [250/600], Reconst Loss: 230.0778, KL Div: 15.4508\n",
            "Epoch[71/80], Step [300/600], Reconst Loss: 219.8247, KL Div: 14.9849\n",
            "Epoch[71/80], Step [350/600], Reconst Loss: 219.4167, KL Div: 15.5131\n",
            "Epoch[71/80], Step [400/600], Reconst Loss: 233.0443, KL Div: 15.1989\n",
            "Epoch[71/80], Step [450/600], Reconst Loss: 224.3424, KL Div: 15.5231\n",
            "Epoch[71/80], Step [500/600], Reconst Loss: 219.8123, KL Div: 14.8385\n",
            "Epoch[71/80], Step [550/600], Reconst Loss: 217.6986, KL Div: 15.7024\n",
            "Epoch[71/80], Step [600/600], Reconst Loss: 216.2355, KL Div: 15.4645\n",
            "Epoch[72/80], Step [50/600], Reconst Loss: 221.7084, KL Div: 15.1774\n",
            "Epoch[72/80], Step [100/600], Reconst Loss: 222.1675, KL Div: 16.1829\n",
            "Epoch[72/80], Step [150/600], Reconst Loss: 230.7643, KL Div: 15.2458\n",
            "Epoch[72/80], Step [200/600], Reconst Loss: 223.9071, KL Div: 14.8667\n",
            "Epoch[72/80], Step [250/600], Reconst Loss: 222.6997, KL Div: 15.4756\n",
            "Epoch[72/80], Step [300/600], Reconst Loss: 222.0342, KL Div: 16.0790\n",
            "Epoch[72/80], Step [350/600], Reconst Loss: 220.4233, KL Div: 15.1493\n",
            "Epoch[72/80], Step [400/600], Reconst Loss: 224.4315, KL Div: 15.6699\n",
            "Epoch[72/80], Step [450/600], Reconst Loss: 214.8602, KL Div: 14.9234\n",
            "Epoch[72/80], Step [500/600], Reconst Loss: 226.3047, KL Div: 15.2634\n",
            "Epoch[72/80], Step [550/600], Reconst Loss: 228.6293, KL Div: 16.1355\n",
            "Epoch[72/80], Step [600/600], Reconst Loss: 217.5223, KL Div: 15.0065\n",
            "Epoch[73/80], Step [50/600], Reconst Loss: 232.0041, KL Div: 16.3957\n",
            "Epoch[73/80], Step [100/600], Reconst Loss: 216.9839, KL Div: 15.1120\n",
            "Epoch[73/80], Step [150/600], Reconst Loss: 225.6773, KL Div: 14.5668\n",
            "Epoch[73/80], Step [200/600], Reconst Loss: 213.8329, KL Div: 15.0482\n",
            "Epoch[73/80], Step [250/600], Reconst Loss: 226.3658, KL Div: 15.5457\n",
            "Epoch[73/80], Step [300/600], Reconst Loss: 229.3821, KL Div: 15.2628\n",
            "Epoch[73/80], Step [350/600], Reconst Loss: 220.7735, KL Div: 15.2707\n",
            "Epoch[73/80], Step [400/600], Reconst Loss: 210.6456, KL Div: 14.7248\n",
            "Epoch[73/80], Step [450/600], Reconst Loss: 225.1164, KL Div: 14.9164\n",
            "Epoch[73/80], Step [500/600], Reconst Loss: 228.6367, KL Div: 15.0726\n",
            "Epoch[73/80], Step [550/600], Reconst Loss: 229.8990, KL Div: 14.9444\n",
            "Epoch[73/80], Step [600/600], Reconst Loss: 233.2426, KL Div: 16.0058\n",
            "Epoch[74/80], Step [50/600], Reconst Loss: 225.0820, KL Div: 14.7352\n",
            "Epoch[74/80], Step [100/600], Reconst Loss: 209.2855, KL Div: 16.0574\n",
            "Epoch[74/80], Step [150/600], Reconst Loss: 223.0013, KL Div: 15.6440\n",
            "Epoch[74/80], Step [200/600], Reconst Loss: 225.5271, KL Div: 14.6809\n",
            "Epoch[74/80], Step [250/600], Reconst Loss: 219.7872, KL Div: 15.6198\n",
            "Epoch[74/80], Step [300/600], Reconst Loss: 242.1879, KL Div: 15.5511\n",
            "Epoch[74/80], Step [350/600], Reconst Loss: 224.3606, KL Div: 15.4518\n",
            "Epoch[74/80], Step [400/600], Reconst Loss: 218.6973, KL Div: 16.3171\n",
            "Epoch[74/80], Step [450/600], Reconst Loss: 241.8220, KL Div: 15.5883\n",
            "Epoch[74/80], Step [500/600], Reconst Loss: 222.1961, KL Div: 15.9684\n",
            "Epoch[74/80], Step [550/600], Reconst Loss: 223.4335, KL Div: 15.0255\n",
            "Epoch[74/80], Step [600/600], Reconst Loss: 222.6334, KL Div: 15.9233\n",
            "Epoch[75/80], Step [50/600], Reconst Loss: 229.8146, KL Div: 14.9931\n",
            "Epoch[75/80], Step [100/600], Reconst Loss: 215.8714, KL Div: 15.6541\n",
            "Epoch[75/80], Step [150/600], Reconst Loss: 224.8794, KL Div: 15.2977\n",
            "Epoch[75/80], Step [200/600], Reconst Loss: 224.1824, KL Div: 15.9710\n",
            "Epoch[75/80], Step [250/600], Reconst Loss: 229.2003, KL Div: 15.6318\n",
            "Epoch[75/80], Step [300/600], Reconst Loss: 228.8021, KL Div: 15.0501\n",
            "Epoch[75/80], Step [350/600], Reconst Loss: 214.4498, KL Div: 15.3432\n",
            "Epoch[75/80], Step [400/600], Reconst Loss: 216.9395, KL Div: 15.1986\n",
            "Epoch[75/80], Step [450/600], Reconst Loss: 217.6355, KL Div: 14.9441\n",
            "Epoch[75/80], Step [500/600], Reconst Loss: 229.6373, KL Div: 15.7299\n",
            "Epoch[75/80], Step [550/600], Reconst Loss: 216.2157, KL Div: 16.2906\n",
            "Epoch[75/80], Step [600/600], Reconst Loss: 220.2300, KL Div: 15.1477\n",
            "Epoch[76/80], Step [50/600], Reconst Loss: 229.6226, KL Div: 15.0825\n",
            "Epoch[76/80], Step [100/600], Reconst Loss: 228.9720, KL Div: 15.3044\n",
            "Epoch[76/80], Step [150/600], Reconst Loss: 230.6120, KL Div: 15.1220\n",
            "Epoch[76/80], Step [200/600], Reconst Loss: 229.8420, KL Div: 15.6111\n",
            "Epoch[76/80], Step [250/600], Reconst Loss: 212.8462, KL Div: 15.3926\n",
            "Epoch[76/80], Step [300/600], Reconst Loss: 232.4918, KL Div: 15.6516\n",
            "Epoch[76/80], Step [350/600], Reconst Loss: 222.8150, KL Div: 15.5438\n",
            "Epoch[76/80], Step [400/600], Reconst Loss: 215.4398, KL Div: 15.5833\n",
            "Epoch[76/80], Step [450/600], Reconst Loss: 220.5344, KL Div: 15.3282\n",
            "Epoch[76/80], Step [500/600], Reconst Loss: 236.7834, KL Div: 14.7121\n",
            "Epoch[76/80], Step [550/600], Reconst Loss: 229.0981, KL Div: 15.0614\n",
            "Epoch[76/80], Step [600/600], Reconst Loss: 219.1571, KL Div: 15.9007\n",
            "Epoch[77/80], Step [50/600], Reconst Loss: 219.4529, KL Div: 15.1036\n",
            "Epoch[77/80], Step [100/600], Reconst Loss: 222.8200, KL Div: 15.6292\n",
            "Epoch[77/80], Step [150/600], Reconst Loss: 222.9406, KL Div: 14.4997\n",
            "Epoch[77/80], Step [200/600], Reconst Loss: 229.2204, KL Div: 15.0777\n",
            "Epoch[77/80], Step [250/600], Reconst Loss: 223.0700, KL Div: 15.8056\n",
            "Epoch[77/80], Step [300/600], Reconst Loss: 234.3104, KL Div: 15.0562\n",
            "Epoch[77/80], Step [350/600], Reconst Loss: 227.0677, KL Div: 15.0773\n",
            "Epoch[77/80], Step [400/600], Reconst Loss: 233.0552, KL Div: 15.3510\n",
            "Epoch[77/80], Step [450/600], Reconst Loss: 219.1991, KL Div: 14.8306\n",
            "Epoch[77/80], Step [500/600], Reconst Loss: 224.4610, KL Div: 15.3157\n",
            "Epoch[77/80], Step [550/600], Reconst Loss: 233.8398, KL Div: 15.7195\n",
            "Epoch[77/80], Step [600/600], Reconst Loss: 233.7069, KL Div: 15.7472\n",
            "Epoch[78/80], Step [50/600], Reconst Loss: 230.0627, KL Div: 15.8427\n",
            "Epoch[78/80], Step [100/600], Reconst Loss: 227.5360, KL Div: 15.2272\n",
            "Epoch[78/80], Step [150/600], Reconst Loss: 224.9642, KL Div: 15.2825\n",
            "Epoch[78/80], Step [200/600], Reconst Loss: 239.6187, KL Div: 15.4049\n",
            "Epoch[78/80], Step [250/600], Reconst Loss: 225.5050, KL Div: 15.1770\n",
            "Epoch[78/80], Step [300/600], Reconst Loss: 223.8228, KL Div: 15.6006\n",
            "Epoch[78/80], Step [350/600], Reconst Loss: 216.9410, KL Div: 15.4469\n",
            "Epoch[78/80], Step [400/600], Reconst Loss: 218.2382, KL Div: 14.7776\n",
            "Epoch[78/80], Step [450/600], Reconst Loss: 211.5075, KL Div: 15.7588\n",
            "Epoch[78/80], Step [500/600], Reconst Loss: 231.8410, KL Div: 15.0454\n",
            "Epoch[78/80], Step [550/600], Reconst Loss: 222.0223, KL Div: 15.5967\n",
            "Epoch[78/80], Step [600/600], Reconst Loss: 219.6577, KL Div: 15.0751\n",
            "Epoch[79/80], Step [50/600], Reconst Loss: 228.1418, KL Div: 15.3711\n",
            "Epoch[79/80], Step [100/600], Reconst Loss: 226.0134, KL Div: 14.7707\n",
            "Epoch[79/80], Step [150/600], Reconst Loss: 226.6613, KL Div: 15.0700\n",
            "Epoch[79/80], Step [200/600], Reconst Loss: 217.4609, KL Div: 15.4137\n",
            "Epoch[79/80], Step [250/600], Reconst Loss: 224.1803, KL Div: 15.0879\n",
            "Epoch[79/80], Step [300/600], Reconst Loss: 224.9171, KL Div: 15.7570\n",
            "Epoch[79/80], Step [350/600], Reconst Loss: 237.0804, KL Div: 16.0402\n",
            "Epoch[79/80], Step [400/600], Reconst Loss: 214.7713, KL Div: 14.9709\n",
            "Epoch[79/80], Step [450/600], Reconst Loss: 226.3835, KL Div: 15.5873\n",
            "Epoch[79/80], Step [500/600], Reconst Loss: 221.2962, KL Div: 14.9674\n",
            "Epoch[79/80], Step [550/600], Reconst Loss: 228.0600, KL Div: 16.0606\n",
            "Epoch[79/80], Step [600/600], Reconst Loss: 227.5758, KL Div: 15.9597\n",
            "Epoch[80/80], Step [50/600], Reconst Loss: 220.6291, KL Div: 15.7268\n",
            "Epoch[80/80], Step [100/600], Reconst Loss: 221.8255, KL Div: 15.5534\n",
            "Epoch[80/80], Step [150/600], Reconst Loss: 218.4841, KL Div: 16.0323\n",
            "Epoch[80/80], Step [200/600], Reconst Loss: 238.9267, KL Div: 15.3571\n",
            "Epoch[80/80], Step [250/600], Reconst Loss: 230.9649, KL Div: 15.5759\n",
            "Epoch[80/80], Step [300/600], Reconst Loss: 215.1546, KL Div: 15.2060\n",
            "Epoch[80/80], Step [350/600], Reconst Loss: 229.0490, KL Div: 15.4094\n",
            "Epoch[80/80], Step [400/600], Reconst Loss: 216.1453, KL Div: 16.0265\n",
            "Epoch[80/80], Step [450/600], Reconst Loss: 234.4044, KL Div: 15.1707\n",
            "Epoch[80/80], Step [500/600], Reconst Loss: 228.3544, KL Div: 15.0710\n",
            "Epoch[80/80], Step [550/600], Reconst Loss: 229.2971, KL Div: 15.0198\n",
            "Epoch[80/80], Step [600/600], Reconst Loss: 227.3244, KL Div: 15.3998\n"
          ]
        }
      ],
      "source": [
        "dataset = tf.data.Dataset.from_tensor_slices(x_train)\n",
        "dataset = dataset.shuffle(batch_size * 5).batch(batch_size)\n",
        "\n",
        "num_batches = x_train.shape[0] // batch_size\n",
        "\n",
        "for epoch in range(num_epochs):\n",
        "\n",
        "    for step, x in enumerate(dataset):\n",
        "\n",
        "        x = tf.reshape(x, [-1, image_size])\n",
        "\n",
        "        with tf.GradientTape() as tape:\n",
        "\n",
        "            # Forward pass\n",
        "            x_reconstruction_logits, mu, log_var = model(x)\n",
        "\n",
        "            # Compute reconstruction loss and kl divergence\n",
        "            reconstruction_loss = tf.nn.sigmoid_cross_entropy_with_logits(labels=x, logits=x_reconstruction_logits)\n",
        "            reconstruction_loss = tf.reduce_sum(reconstruction_loss) / batch_size\n",
        "            kl_div = - 0.5 * tf.reduce_sum(1. + log_var - tf.square(mu) - tf.exp(log_var), axis=-1)\n",
        "            kl_div = tf.reduce_mean(kl_div)\n",
        "\n",
        "            # Backprop and optimize\n",
        "            loss = tf.reduce_mean(reconstruction_loss) + kl_div\n",
        "\n",
        "        gradients = tape.gradient(loss, model.trainable_variables)\n",
        "        for g in gradients:\n",
        "            tf.clip_by_norm(g, 15)\n",
        "        optimizer.apply_gradients(zip(gradients, model.trainable_variables))\n",
        "\n",
        "        if (step + 1) % 50 == 0:\n",
        "            print(\"Epoch[{}/{}], Step [{}/{}], Reconst Loss: {:.4f}, KL Div: {:.4f}\"\n",
        "                  .format(epoch + 1, num_epochs, step + 1, num_batches, float(reconstruction_loss), float(kl_div)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ev5jDHGLUfhW"
      },
      "outputs": [],
      "source": [
        "z = tf.random.normal((batch_size, latent_dim))\n",
        "out = model.decode(z)  # decode with sigmoid\n",
        "out = tf.reshape(out, [-1, 28, 28]).numpy() * 255\n",
        "out = out.astype(np.uint8)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 129
        },
        "id": "ObNta9aNUfhX",
        "outputId": "4e080001-bf7f-4b8d-e4ea-d474b5b1d5a9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x288 with 10 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "number = 10  # how many digits we will display\n",
        "plt.figure(figsize=(20, 4))\n",
        "for index in range(number):\n",
        "    # display original\n",
        "    ax = plt.subplot(2, number, index + 1)\n",
        "    plt.imshow(out[index], cmap='gray')\n",
        "    ax.get_xaxis().set_visible(False)\n",
        "    ax.get_yaxis().set_visible(False)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BNtP77ERUfhY"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "colab": {
      "provenance": []
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}